{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析思路\n",
    "![image](Uber%20Thinking.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:37.420775Z",
     "start_time": "2021-03-08T03:32:35.829561Z"
    }
   },
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False    # 解决无法显示符号的问题\n",
    "sns.set(font='SimHei', font_scale=1.5)        # 解决Seaborn中文显示问题\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据读取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:39.519910Z",
     "start_time": "2021-03-08T03:32:37.422488Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Base</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4/1/2014 0:11:00</td>\n",
       "      <td>40.7690</td>\n",
       "      <td>-73.9549</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4/1/2014 0:17:00</td>\n",
       "      <td>40.7267</td>\n",
       "      <td>-74.0345</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4/1/2014 0:21:00</td>\n",
       "      <td>40.7316</td>\n",
       "      <td>-73.9873</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4/1/2014 0:28:00</td>\n",
       "      <td>40.7588</td>\n",
       "      <td>-73.9776</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4/1/2014 0:33:00</td>\n",
       "      <td>40.7594</td>\n",
       "      <td>-73.9722</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date/Time      Lat      Lon    Base\n",
       "0  4/1/2014 0:11:00  40.7690 -73.9549  B02512\n",
       "1  4/1/2014 0:17:00  40.7267 -74.0345  B02512\n",
       "2  4/1/2014 0:21:00  40.7316 -73.9873  B02512\n",
       "3  4/1/2014 0:28:00  40.7588 -73.9776  B02512\n",
       "4  4/1/2014 0:33:00  40.7594 -73.9722  B02512"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2014年4-9月数据集\n",
    "df_apr = pd.read_csv('Uber_Data/uber-raw-data-apr14.csv')\n",
    "df_may = pd.read_csv('Uber_Data/uber-raw-data-may14.csv')\n",
    "df_jun = pd.read_csv('Uber_Data/uber-raw-data-jun14.csv')\n",
    "df_jul = pd.read_csv('Uber_Data/uber-raw-data-jul14.csv')\n",
    "df_aug = pd.read_csv('Uber_Data/uber-raw-data-aug14.csv')\n",
    "df_sep = pd.read_csv('Uber_Data/uber-raw-data-sep14.csv')\n",
    "data_initial_14 = pd.concat([df_apr, df_may, df_jun, df_jul, df_aug, df_sep], axis=0, ignore_index=True)\n",
    "\n",
    "# 观察数据\n",
    "data_initial_14.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据清洗"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:39.527280Z",
     "start_time": "2021-03-08T03:32:39.522134Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4534327 entries, 0 to 4534326\n",
      "Data columns (total 4 columns):\n",
      " #   Column     Dtype  \n",
      "---  ------     -----  \n",
      " 0   Date/Time  object \n",
      " 1   Lat        float64\n",
      " 2   Lon        float64\n",
      " 3   Base       object \n",
      "dtypes: float64(2), object(2)\n",
      "memory usage: 138.4+ MB\n"
     ]
    }
   ],
   "source": [
    "# 查看数据格式\n",
    "data_initial_14.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 缺失值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:39.766605Z",
     "start_time": "2021-03-08T03:32:39.528957Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time    0\n",
       "Lat          0\n",
       "Lon          0\n",
       "Base         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_initial_14.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "未发现缺失值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 重复值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:40.988784Z",
     "start_time": "2021-03-08T03:32:39.767938Z"
    }
   },
   "outputs": [
    {
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       "      <th>Base</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>4/1/2014 5:44:00</td>\n",
       "      <td>40.7430</td>\n",
       "      <td>-74.0301</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>4/1/2014 7:25:00</td>\n",
       "      <td>40.7805</td>\n",
       "      <td>-73.9481</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>4/1/2014 8:25:00</td>\n",
       "      <td>40.7620</td>\n",
       "      <td>-73.9787</td>\n",
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       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>4/1/2014 8:29:00</td>\n",
       "      <td>40.6904</td>\n",
       "      <td>-74.1778</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>4/1/2014 9:49:00</td>\n",
       "      <td>40.7195</td>\n",
       "      <td>-74.0367</td>\n",
       "      <td>B02512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4534184</th>\n",
       "      <td>9/30/2014 22:25:00</td>\n",
       "      <td>40.6484</td>\n",
       "      <td>-73.7829</td>\n",
       "      <td>B02764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4534220</th>\n",
       "      <td>9/30/2014 22:32:00</td>\n",
       "      <td>40.7489</td>\n",
       "      <td>-73.9759</td>\n",
       "      <td>B02764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4534256</th>\n",
       "      <td>9/30/2014 22:39:00</td>\n",
       "      <td>40.7714</td>\n",
       "      <td>-73.9502</td>\n",
       "      <td>B02764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4534286</th>\n",
       "      <td>9/30/2014 22:46:00</td>\n",
       "      <td>40.7277</td>\n",
       "      <td>-73.9893</td>\n",
       "      <td>B02764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4534291</th>\n",
       "      <td>9/30/2014 22:47:00</td>\n",
       "      <td>40.7212</td>\n",
       "      <td>-74.0048</td>\n",
       "      <td>B02764</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82581 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Date/Time      Lat      Lon    Base\n",
       "44         4/1/2014 5:44:00  40.7430 -74.0301  B02512\n",
       "128        4/1/2014 7:25:00  40.7805 -73.9481  B02512\n",
       "185        4/1/2014 8:25:00  40.7620 -73.9787  B02512\n",
       "190        4/1/2014 8:29:00  40.6904 -74.1778  B02512\n",
       "238        4/1/2014 9:49:00  40.7195 -74.0367  B02512\n",
       "...                     ...      ...      ...     ...\n",
       "4534184  9/30/2014 22:25:00  40.6484 -73.7829  B02764\n",
       "4534220  9/30/2014 22:32:00  40.7489 -73.9759  B02764\n",
       "4534256  9/30/2014 22:39:00  40.7714 -73.9502  B02764\n",
       "4534286  9/30/2014 22:46:00  40.7277 -73.9893  B02764\n",
       "4534291  9/30/2014 22:47:00  40.7212 -74.0048  B02764\n",
       "\n",
       "[82581 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_initial_14[data_initial_14.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:42.153778Z",
     "start_time": "2021-03-08T03:32:40.990663Z"
    }
   },
   "outputs": [],
   "source": [
    "data_etl_4_9_14 = data_initial_14.drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:32:42.157831Z",
     "start_time": "2021-03-08T03:32:42.155164Z"
    }
   },
   "source": [
    "### 日期/时间列处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:37:36.103986Z",
     "start_time": "2021-03-08T03:32:42.160549Z"
    },
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "data_etl_4_9_14['Date/Time'] = pd.to_datetime(data_etl_4_9_14['Date/Time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:37:36.500747Z",
     "start_time": "2021-03-08T03:37:36.106599Z"
    }
   },
   "outputs": [
    {
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       "      <td>2014-04-01 00:33:00</td>\n",
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       "            Date/Time      Lat      Lon    Base  Month  WeekDay  Hour\n",
       "0 2014-04-01 00:11:00  40.7690 -73.9549  B02512      4        2     0\n",
       "1 2014-04-01 00:17:00  40.7267 -74.0345  B02512      4        2     0\n",
       "2 2014-04-01 00:21:00  40.7316 -73.9873  B02512      4        2     0\n",
       "3 2014-04-01 00:28:00  40.7588 -73.9776  B02512      4        2     0\n",
       "4 2014-04-01 00:33:00  40.7594 -73.9722  B02512      4        2     0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_etl_4_9_14['Date'] = data_etl_4_9_14['Date/Time'].dt.date\n",
    "data_etl_4_9_14['Month'] = data_etl_4_9_14['Date/Time'].dt.month\n",
    "data_etl_4_9_14['WeekDay'] = data_etl_4_9_14['Date/Time'].dt.weekday + 1\n",
    "data_etl_4_9_14['Hour'] = data_etl_4_9_14['Date/Time'].dt.hour\n",
    "data_etl_4_9_14.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:37:36.509516Z",
     "start_time": "2021-03-08T03:37:36.502196Z"
    }
   },
   "outputs": [
    {
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       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-04-01 00:33:00</td>\n",
       "      <td>40.7594</td>\n",
       "      <td>-73.9722</td>\n",
       "      <td>B02512</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date/Time      Lat      Lon    Base  Month  WeekDay  Hour\n",
       "0 2014-04-01 00:11:00  40.7690 -73.9549  B02512      4        2     0\n",
       "1 2014-04-01 00:17:00  40.7267 -74.0345  B02512      4        2     0\n",
       "2 2014-04-01 00:21:00  40.7316 -73.9873  B02512      4        2     0\n",
       "3 2014-04-01 00:28:00  40.7588 -73.9776  B02512      4        2     0\n",
       "4 2014-04-01 00:33:00  40.7594 -73.9722  B02512      4        2     0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_etl_4_9_14.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基公司代码匹配"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:40:22.114718Z",
     "start_time": "2021-03-08T03:40:21.834200Z"
    }
   },
   "outputs": [],
   "source": [
    "dic_base = {\n",
    "    'B02512': 'Unter',\n",
    "    'B02598': 'Hinter',\n",
    "    'B02617': 'Weiter',\n",
    "    'B02682': 'Schmecken',\n",
    "    'B02764': 'Danach-NY',\n",
    "    'B02765': 'Grun',\n",
    "    'B02835': 'Dreist',\n",
    "    'B02836': 'Drinnen'\n",
    "}\n",
    "data_etl_4_9_14['BaseName'] = data_etl_4_9_14['Base'].map(dic_base)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T02:29:35.766452Z",
     "start_time": "2021-03-08T02:29:35.764870Z"
    }
   },
   "source": [
    "## 运营分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4-9月业务增长情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:37:36.732660Z",
     "start_time": "2021-03-08T03:37:36.510971Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>count</th>\n",
       "      <th>last_count</th>\n",
       "      <th>环比增长率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>556767</td>\n",
       "      <td>0</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>642360</td>\n",
       "      <td>556767</td>\n",
       "      <td>0.153732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>653158</td>\n",
       "      <td>642360</td>\n",
       "      <td>0.016810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>781969</td>\n",
       "      <td>653158</td>\n",
       "      <td>0.197213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>813393</td>\n",
       "      <td>781969</td>\n",
       "      <td>0.040186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9</td>\n",
       "      <td>1004099</td>\n",
       "      <td>813393</td>\n",
       "      <td>0.234457</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Month    count  last_count     环比增长率\n",
       "0      4   556767           0       inf\n",
       "1      5   642360      556767  0.153732\n",
       "2      6   653158      642360  0.016810\n",
       "3      7   781969      653158  0.197213\n",
       "4      8   813393      781969  0.040186\n",
       "5      9  1004099      813393  0.234457"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_month_c = data_etl_4_9_14.groupby('Month', as_index = False)['Date/Time'].count()\n",
    "data_month_c.columns = ['Month','count']\n",
    "data_month_c['last_count'] = 0\n",
    "\n",
    "for i in range(len(data_month_c)):\n",
    "    if i == 0:\n",
    "        data_month_c['last_count'][i] = 0\n",
    "    else:\n",
    "        data_month_c['last_count'][i] = data_month_c['count'][i-1]\n",
    "        \n",
    "data_month_c['环比增长率'] = (data_month_c['count'] - data_month_c['last_count'])/data_month_c['last_count']\n",
    "data_month_c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:37:36.969122Z",
     "start_time": "2021-03-08T03:37:36.734123Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,6))\n",
    "\n",
    "ax = sns.barplot(x=\"Month\", y=\"count\", data=data_month_c)\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot(data_month_c.index, data_month_c[\"环比增长率\"], color=\"C1\", marker=\"D\", ms=7)\n",
    "ax2.tick_params(axis=\"y\", colors=\"C1\")\n",
    "ax.set_title('2014年(4-9月) Uber订单变化')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上图可知, 在2014年4-9月, Uber出行业务量数月增长, 7月、9月的环比增长最大，9月业务环比增长23.44%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:40:35.819244Z",
     "start_time": "2021-03-08T03:40:35.045332Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_base_c = data_etl_4_9_14.groupby(['Month','BaseName'], as_index = False)['Date/Time'].count()\n",
    "data_base_c.columns = ['Month','BaseName','count']\n",
    "\n",
    "plt.figure(figsize=(15,6))\n",
    "ax = sns.barplot(\n",
    "    data=data_base_c,\n",
    "    x=\"Month\", y=\"count\", hue=\"BaseName\",\n",
    "    ci=\"sd\",  alpha=.6\n",
    ")\n",
    "ax.set_title('基公司业务增长情况')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:04:24.611171Z",
     "start_time": "2021-03-08T03:04:24.604032Z"
    }
   },
   "source": [
    "观察上图, 可以看出2014年4-9月份, Uber旗下5个基公司的业务增长情况\n",
    "- Hinter和Unter业务量比较稳定, 波动不大; \n",
    "- Weiter数月持续增长, 在7月份开始反超其他基公司; \n",
    "- Danach-NY也有增长趋势, 在8-9月增长幅度较大; \n",
    "- 而Schmecken数月呈有业务下滑的趋势"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:40:30.730256Z",
     "start_time": "2021-03-08T03:40:30.582351Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['B02512', 'B02598', 'B02617', 'B02682', 'B02764'], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_etl_4_9_14['Base'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TLC基公司订单总量比较"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:40:41.756035Z",
     "start_time": "2021-03-08T03:40:41.463429Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Op5MPP/yQTz/99JLvzW63X/SeeGpqKs8880zBfed/D+66FFVVWb16NTt37mTgwIHF+dIWeOSRR3A4HBe9P52bm8uhQ4f466+/ijzncrmoUaMG33//fcFjGzdu5J133iEwMLDQ1+3kyZMkJiaSkpJS6Hi73c6yZcsueW88Pz+/YADjxRR3oxBVVZk9ezYTJkwgLCyMAQMGXPK177//Plarlfnz5xf5YFPS80RGRhIXF0fHjh1p37493333HUFBQbz99tuFjrnrrruYP38+FStWLLQSoBDeICEuvG7evHnMmzevyOOrV68mPj6erl27MmPGDD755BMef/xxIiIiePbZZwu1jlq1akV6ejqnT5/GaDSi1+txuVwFi3W43W7sdjtwvnWZmpqK0+kkIiLiovOFx44dy759+4DzK5MFBgYSFxdHpUqViImJIT4+nt69e/Prr7+yZcsW2rRpc9H3VrFiRSIiIop019euXZstW7aQkZHB4cOHWbduHXDpLuOTJ09y+vRpkpOTefrppwvmr19w4b1dysUC+oL777+fWrVqFbs7vXHjxnz66adUrly50Cp5FxvYlpmZSWpq6mUHt82YMYMZM2YU69qXcujQIfbu3cvmzZt57LHHeOyxxwp6bQIDA1m3bh2tWrXCaDRy7Ngxtm3bRu/evYt8va/1PBMnTiw414IFCwoNDnQ4HCxatIiJEycSGRlJZmYmzzzzDE8//TRNmjS5pvcvxKVIiAuP6NatW5FVuOLj4y+6MtfFdOzYscjqa/9r/PjxLFq0qCDE/2327NnMnj274O8X1k3/7LPPLjrA7YknniAiIoLrr7+eRo0aERcXd9Hu9q1bt5KYmHjJEB83btxla961axePPfYYcD7Y/z016d+WL1+Oqqo88cQThQJ869atjBo1ijNnzgAUGY1fHIqiFKsn4ILQ0NDLzrP+t/DwcMLDwy/5vNPp5PHHHy80G+B/HT9+nP79+19ytLzT6SQ3N5caNWowYcKEIiufDR48mMmTJ7N8+fKCx+Li4ooMpvPUef59Pp1Oh9VqZeLEifzyyy+kpaVx991389JLL7F9+3beeust/vOf/1C1alVuvPHGYq8oKERx6dSr+ekWQkMXuouLu4Xlhfu9V7Pl5f9yOp3XNHfb6XTyww8/0LBhQxo3bnzZWn755Rf69OlT6MOEy+Wia9euVKtWjZ49e/Lwww9fdQ133XUXtWvX5sMPP7zia5955hkOHz5MaGhokQ81qampGI1GIiMjCz2uKArnzp2jY8eORTb4aNy4McOGDSvW6PRLfeCC84MNw8LCLvkhRlXVgsGNOp3ukiPdPXUegKFDhxIQEMDkyZOZMmUKe/bsYfjw4YXWGnA6nfzyyy8sWLCA/v37FxooKIQnSIgLIYQQPurq5nQIIYQQosyQEBdCCCF8lIS4EEII4aMkxIUQQggfJSEuhBBC+CgJcSGEEMJHSYgLIYQQPkpCXAghhPBREuJCCCGEj5IQF0IIIXyUhLgQQgjhoyTEhRBCCB8lIS6EEEL4KAlxIYQQwkdJiAshhBA+SkJcCCGE8FES4kIIIYSPkhAXQgghfJSEuBBCCOGjJMSFEEIIHyUhLoQQQvgoCXEhhBDCR0mICyGEED5KQlwIIYTwURLiQgghhI+SEBdCCCF8lIS4EEII4aMkxIUQQggfJSEuhBBC+CgJcSGEEMJHSYgLIYQQPkpCXAghhPBREuJCCCGEj5IQF0IIIXyUhLgQQgjho4xaFyCE+H9uRcHucKOoKjp06HWg1+sxGnWADofTjd3hxuZwYbW5yLM5cboUdDrQ6XTodTp0es7/P/99TK9Dpzv/mNlkICjAiCXAiNlkwKDX4XIruNwKqnq+BoNBh8l4/jkhRNkmIS5EKbI73bhcCgBm0/mOsKxcO2mZVpLT8jh1NpczmVYys23k2ZzkW13k253k21w4/3ucJxn0OoIDTYQGm//7XwBhIWbCggOIiwkhPiaEmPAgKgSbcDgVFEXFYNARYDKg00nIC6E1nape+PwthPAUp8uNw6lgMupxuhWSUnNIOJlVENJnM/M5m2kl1+rUutRi0et1RFcMJDYyiMqRwcRFBVOtciiVI4OJrBgIqorLrRIYYEQvLXghSo2EuBDXQFFU7A4XKmA2GUg/Z+PoqSz2H8/geHI2x5Kzycq1a12m18WEB1InviJ1q4XTuFYkNSqHoted76q3BBila14IL5EQF+IqKIqK1e7CbDKQkW1l+8Gz7DuWwbHkcySdycXl9nyXt6+KqmihdlxF6v0r2I0GPYp6vsUuhLh2EuJCXIaiKFjtbswmA2lZVrYfPMP2Q2fYezSdnHzf6AovS6LDA2leN5r2jSvRtE5UwcC7AJNB69KE8EkS4kL8j3ybE5PRwNnMfLYeSGVHQhp7j6aT5yP3r31J9UoVaFEvmvZNKlOvWjhOt4LZaMBk9N/Zr3379qVVq1a8/fbbPPbYYyQnJ/Pzzz8zffp0pk+fzpYtW4p1nqSkJHr06MHq1auJj4/3ctWirJI+LVHuKYqK1eHCZNCz63Aaa7eeZMuBMxLapSAxJYfElBx+WncUg15HvWrhtKx/PtTjokNQFBWLn3W9V6lShfT0dACSk5NJTk4GIC0tjcqVKxf7PDExMcyfP5+YmJiLPr9q1SoAevbseY0Vi7LMv346hCgmt1vB7nQDsHlfCuu2nWJHwlmvTOMSxeNWVPYfz2D/8Qy++/UgFUMCaN+0Mr2uq0aNyqG4Ff+4l165cmUOHjwInA/x3NxcsrOzSU9PJy4urtjnMZvNtGjR4pLPS4iXD77/EyFEMblcCs7/hveGHafYsDOZ/cfSUeSGUpmUlWtnxcbjrNh4nLAQMx2aVKbnddWoWSXMpwO9SpUq/PXXX5w7dw69Xk+DBg1ITk4mLS2NWrVqaV2e8DG++VMgxFXItzlRVVj1zwlW/3OCY8nZWpckrtK5XAcr/k5kxd+JhAabad+kMr3aVaN2XBhut291uV/oTk9OTiY+Pp4qVapw6tQp0tPT6dixIwArVqxg8uTJJCUlUbduXUaOHFmk1X2pe+Ldu3fn1KlTBX9fvHgxALNmzaJdu3YA2Gw2Pv74Y5YuXYqqqnTr1o2RI0cSEhJS6NzLli1j27ZtzJw5k2bNmjF69GhvfmlECfjOd74QV8HucKHT6dh/PIMl64+ydX8qbmly+4XsPAe/bUrkt03nA71Lyzhu71KHCsFmAkyGMr/YTOXKlcnJyeHYsWMFIX6hJR4XF8emTZsYPnw4Tz75JG3btuWHH35g8ODBLF++nEqVKl3x/FOmTMHhcDBt2jQAnnzySQDq1KlT8Jp33nmHjRs38uabb2I2mxkzZgwvvfQSn376aaFzzZw5kz///JP+/fvTtGlTD34VhKdIiAu/oSgKdodCvt3J0g3HWP3PCTJz/H+hlfIsO8/BzxuO8fOGYzSsEUG/zrVo26gSiqpiMZfNX28X7nvv3r27IMRPnDhBVlYWlStXZsKECfTs2bMgfFu0aMHKlStZsWIFDz300BXP36hRIwAiIiIKjv+3pKQkFi9ezJQpU+jatSsAOTk5vPrqq2RlZVGxYsWC127YsIGFCxcSGRl5bW9aeE3Z/C4X4ipY7S70Oh2b9p5m6YZj7D+eoXVJQgMXBsWFBJro0bYat3epTXCgqcy1zqOjozGZTOzevZubb76ZKlWq8Msvv6CqKlWqVOHQoUNkZWXRuHHjQsclJiZ65PqHDh1CVVWGDRtW5LkTJ04UCvFnnnlGAryMkxAXPivf5sRqd7Fw9SHWbEnCandpXZIoA3KtTn5ad4Sf1h2hca1I+nWuTesGMaiqSkAZaJ3r9XpiYmL4559/ePTRR6lSpQrbt2/HZDIVTBcbOHAgd9xxR6HjwsPDPVrHF198USiwgSID66QLvezT/jtaiKugKAoOl8LJ1Bzm/naQLftTkeWKxKXsPZrO3qPphAabuaVjTW7vUhudTqf5yPa4uDhOnTpV0J0O5+d96/V66tatS0ZGRqEA/fjjj6lZs+ZVLepiNpvJzi46iLNu3brA+Z+lC9c4efIkEydO5JlnniE4OPha3pooZRLiwieobheq4kZx2DiUbOf1zzZqXZLwIdl5Dub+dpAf1h7m5vY1uLtXPYwGvWZhfmFRl7i4OCwWC5GRkQVhPmzYMB5++GEmTJhAhw4d2Lx5M19++SVffvnlVV2jWbNmfPzxx6xduxaA06dPc++991K1alX69evH22+/zfDhw4mMjOTTTz/lzJkzxRo4J8oWCXFRpikuJ6gqefv/JHP9QgyBITS+/13MRj0OWZhFXCW7w82P646w9M9jdG8Tz8CbGhIYYCAwwFSqdVSpUoWoqCgsFgsA8fHxBcHeoUMHxo0bx5QpU/jqq6+oXr0648aN4/rrr7+qa9xxxx3s37+fESNGYLfb6devX8Fz77zzDmPHjmX06NG4XC6uu+46xowZg9ls9tybFKVC1k4XZZLqcqKqCtnbV3Ju42LcuVkFz1UZ/CFrjhn49Idd2hUo/IJer6Njsyo80KchYSHmUg9zIa6VhLgoU1S3G1Vxkbt3A5lrv8Odl1XkNYG1WxLZ73n+M3Jl6Rco/FbbhrE8eEsjYiKCNL9nLkRxSYiLMkFVFVSXE+uxXaSv+gZXZsplX1/1yWnM3ZjOwtUJpVShKC/aNa7E43c2IzjQJGEuyjwJcaE5xWHDceY4ab9+iSPlaLGOCWnaheBugxnw9hovVyfKI4Nex83X12DQzQ0x6PUEmGW/c1E2SYgLzSgOK67sdNJ+/QLb8d1Xd7DeSPVnv2DC4oP8se3UlV8vRAkEWYzcd2MDbupQA4NBh9Hgv/ucC98kIS5KneK0oditpP/6JXkHSj5VLKx9P2jRj4dGr/VccUJcREx4II/0a0Kr+jGYTQZ0urKzApwo3yTERalRFTeq28W5zUvJ2rAI1eW4pvPpzIFUf/YLXpv+D3uPyVKrwvvqVq3Ik3c1Jy46RO6XizJBQlyUCsVhxXH2JGeXTMaZkeyx80b0fJDs+E4MG7/eY+cU4ko6NqvCU/2bYzIZCDDJ/XKhHQlx4VWK04HqdpK2YgZ5ez0ftIaQcKo+OY0nxq0j+Wyex88vxKUEWYwM6duELi3jysSa7KJ8khAXXqGqKqrLQe7eDWSsnoli817ARvd9luOW+rz22d9eu4YQl1K/ejgvDGxNeIWAMrv9qfBfEuLC4xSHDXduBmd+moQ92fvzuE2RccQNGcvAt1eRa5OdzETpM+h13N2jHv/pXgeTsWxtfSr8m4S48JgLre+sDd+TtXExqKW3tnml+95iS2Y4Y+dsK7VrCvG/qsVWYMQDbYgND8IiA99EKZBJj8IjFKcdV3YayTNfJ+uv70s1wAEy183n+sZRGOU7WmjoRGoOz3z8O3NXHsTucKEo0kYS3iW/8sQ1U5x2cnf/QdJnz+BIPaZJDfakA7izzjDolkaaXF+ICxQVfvj9MMMn/EFKRh42h9ziEd4jIS5KTHU5cVtzSf1+LGnLP7/med/XKnP9PG65roqmNQhxQdKZXJ4a+zvrtiVJkAuvkRAXJaI4bFgT93Lys6exHtmudTkA5B/agt5l47ZONbUuRQgAnC6FyQt3Mm7ONvJtTtzu0r3NJPyfDGwTV0VVFFSXg/SVX5OzY5XW5RRRoUUvLJ3u4753f9e6FCEKia4YyOsPX0dcdIhMRRMeIy1xUWyK04Hr3BmSvnixTAY4QO7utQQFGGjXpJLWpQhRyNksK89/so6lG45il+514SHSEhfFojhsWI/v4syPn6A67VqXc1kVO92Fs9HNPDLmD61LEeKimtWJ4pUH22IxGzAZZdlWUXLSEhdXpDjtZG1YROrCD8t8gANkb1lOdMVA6sSHaV2KEBe163Aaj49ZzeGTWTLoTVwTCXFxSariRrHnk7pwzPnFW3yEYssjZ+fvPHVnE61LEeKSsvMcvDLtT/7YmoTNLkEuSkZCXFyU4rTjyjpD0owXsB7bpXU5V+3cxh+pWSWUyDCL1qUIcUmKojJl0U6++WUfdodb63KED5IQF0UoDhvWoztI+uIFXOfOaF1Oibiyz5J/ZBtP92+mdSlCXNEvfx7jva82kW9zyipv4qpIiItCFKedzA0LSV30kU/c/76crPULaFE7XKbzCJ+wM+Esz034g4xsG06XtMpF8UiIiwKK086ZHz/h3MYftS7FIxxnEnGkHufR2+XeuPANyWl5PPXx7xxJOicD3kSxSIgLVFVBsVs5/d275B/arHU5HpW5bh7dmkejl+904SPyrE5embqBddtPSZCLK5JfbeWcqrhRrLmcmvkq9qQDWpfjcbbju1HzshjQs77WpQhRbG5FZfKCHcxevl+CXFyWhHg5prqcuHIySPryJZxnT2pdjtdkrpvH7R3jtS5DiKv207qjfPb9LlnhTVyShHg5pTjtONJPcerLF3Fnp2ldjlfl7d+ISeei13XVtC5FiKu2estJxs/dJkEuLkpCvBxSHDbspw6R/M2rKNZcrcvxPlUh68/veeDG2lpXIkSJ/LXrNKO/+Ue61kUREuLljOKwkZ+whdNz39N8/+/SlLNjNaFBJprXi9a6FCFKZNvBM7w942+ssrqb+BcJ8XJEcdjI2/8XZ36cAEr5moeqOu2c27KMJ/o10LoUIUps79F0Xv/0T/JtTmTvKgES4uWG4rCRd3AzZ5dO07oUzZzbvJTKkSFUi62gdSlClFjCySxemryeXKsTRVG0LkdoTLYiLQcUh438w1s5s3gCUL7/uaNuHcapCk0YMXWj1qVcM50OLGYjQRYjFrMRRVVBBUVVUVUVteDP4HC6ybe7ZElPP1I5MpiPnrmB0CATelkIodySEPdzF9ZBT/1hHKjyqd0YXon4R8fz4PtryMote2MC9HodkaEWosMDiQ4PIrpiIPExIVSOCqZCkBlLgJFAswGzyYDRqMftVnG7lfMBDuh0ukLn0/33fwx6HQaDHrdbwe5wk2dzkp3nJCvHTvo5K6fO5pKSnk9Keh6pGfly39VHVIoMYvzwLoQEmor824vyQULcjylOG9Zju0ld9JEE+L/E3vM6O/Ni+WDWFs1qMBp0xMdUoGaVUGrHV6RB9QgqRwUTHGjC6XLjdqvodBBgMmAweL+V5XS5cTgVdDowmww4nG7Sz9lITsvj6KksEk5mcSTpHBnZNq/XIq5O9UoV+OjpGwiymLQuRWhAQtxPKU47tsS9pCwcU+4GsV1JQJW6VLrvbe56cyUul/c/3Oh1ULNKGI1rRdK4ViS14sKIqhiIw3n+38ViNqLXl91WlFtRsNndmIx6nC6F46ez2Xs0nUMnMjmclEX6OQl2rdWvFs77j1+PJUA2+ylvJMT9kOK0Y0s6SMq8UaBIt+jFVHn4I1Ye0TF98W6Pn1uv11E7LowmtSNp26gS9aqG41YUDAY9ASaDx6+nBbeiYrO7MBr1WG0uth88w+b9KexKSCM7r+zdpigPmteN5o2HryNAdu0rVyTE/YzidOBIOULynLfBLQF+KYF1WhF523D+88Yqj5wvItRC+yaV6NwynrpVK+JyKxgNesx+EtpXoqoqVrsLk1FP+jkb/+xLYeuBM+w5ko7dKT1BpeX6ppV5/r5WEuTliIS4H1HdblznzpD05UuoDqvW5ZRxOqoOm8bsDWf54ffDJTpDfEwIHZpWplvrqsRGBKEoqnRn/te/u+B3HT7Lqs0n2XIgFbtDAt3bel1XjaF3NMUiQV4uSIj7CVVVUay5JH3xPO6cDK3L8QkhzboR3OVBBryzptjH1KgcStfW8XRpGU+FoPMjgstLa/ta5NucGA16dh9OY9U/J/hnvwS6N93RtQ739a4vQV4OSIj7CcVhI3nW6zhSj2tdiu/QG6k+/AvGLTrI+h2nLvmyYIuRLq3i6XtDbSIrWjAa9BhLYcS4v7oQ6DsOneWndUfYddi/N+DRyoN9GnJrp1rSO+TnJMT9gOK0k/r9WKxHtmtdis8J63A7arO+DP5gbaHHdTpoUiuK226oSesGsbgVlUD5ZehRqqpis59fhGbJ+iOs2nxCBsV52GsPXUer+jEEmKW3yF9JiPs4xWEjffVMcrb9pnUpPkkXEET1Z2bw8uebOXA8k5BAE32ur8GtN9TCYjISYDaU6elf/sLmcKHX6dh28Aw//XGEPUfTtS7JL5iNej55viuVo4Kl98hPSYj7MMVhI3vbb2Ssnql1KT4toudD5FXvxJ7j5+jauiqqqsq9RI0oiord6SYn38Hs5ftZt/0Ublkq9ppEhFqY8lI3KgSZtS5FeIGEuI9SnHasx3aSuvAjyvt66NfCXKkmkT0exFS5DhgCMBqltVJWWG1O7E43c387yMrNJ3CWwsI8/qpetXBGPXG9fDj1QxLiPkhxu3CmJZH89SuobqfW5fikgLj6RPR4gIBKNdEZTOhkA4kyy2p34VYUFq5OYPlfx2Vd9xLq0aYqj/+nmQS5n5EQ90FuWx5J04fLVLISMEVXJbLXw1ji6qEzBcimET7EZnehAovXHuaH3w/LIjIl8OjtTbjxuuoyYt2PSIj7GMVpJ2XeKGwn9mpdik8xhEYR2X0QQfXaojMY0elltK6vsjlcOF0KXy7Zw+9bTiK3zItPr4P3n+hI/Wrhsr6Bn5AQ9yGKw0bmhoWc2/ij1qX4DH1gCOGd76FC8x7o9AZ0BmmB+Aur3UVmto2p3+9kV4LMNS+uIIuRKS92IzIsUGZe+AEJcR+hOB1YE3eTOn+01qX4Bp2e0FY3EtH9ftAZ0JtkZK6/stldJJzM4tMfdnEyNUfrcnxCXHQInzzfRe6P+wEJcR+gqiru3ExOfv4sqj1f63LKPHOlmsT0fRZjWDR6s0XrckQpUBQFp0tl9ZYTfLN0nwx+K4Yb21Xn0X5N5P64j5MQ9wGK035+SdWUY1qXUqbpzIFEdh9ESLOu6IwmdDoZcV7e2J0u7A43k+bvYNPeFK3LKfPeGNKOFnWj5f64D5MQL+MUh42M32eTvWW51qWUacEN2hPV53F0RjN6U4DW5QiN2ewu9h5L55N528nKsWtdTpkVHGji81d6EBYiPzO+SkK8DFNcDqzHdpG64AOtSymz9IEhxPR7FkvVRtJ1LgpxuhScLjef/bCL37cmaV1OmdWoZgTvDr1e1lf3URLiZZjbmsPJacNQbHlal1ImBdZsTswdz6E3WdAZTVqXI8oom93FwcRMPpq9RTZYuYRBNzek7w2y45kvkhAvoxSHjdTF47Ae3qZ1KWWOzmgmstdDhDTtKl3nolicLjdWu5sPZm5mzxHZXOV/6fU6xg/vTI1KoRhkoxSfIiFeBilOB/mHNnHmx0+0LqXMMcfWIPaulzEEh0mAi6tmd7j4af1R5qw4gCKrxBQSHR7I1Je6y5a7PkZCvAxy52dzYtowmU72P0Lb3ExE90HojGZZLlWUmM3uIulMLqO+2URalk3rcsqUjs2qMPzeljJ/3IdIv0kZozjtnPnxEwnwf9EZTMTcPpyIbvejl/XOxTWyBBipUSWUqS9157rGlbQup0z5c1cyuxLSZMc4HyIhXoYoTgd5+zdiPbZT61LKDEOFCOKGjCWo3nUy+lx4jNGgJ8hi4qX7W3Nv7/pal1OmTF64A5dbQtxXSIiXIYojn7RfZ2hdRplhqdqI+KGfYIqoIve/hVdYzEbu6FKH1x66DrPsJQ9AVo6dr5bskVXvfIR815YRitPOmcUTUB1yjw4gtO0tVLp3JAZLMDqDzF/1dQsXLuTmm2+mRYsW9O3blxUrVlz0de+88w6zZ88u0TUURWHChAl07NiR5s2bM3jwYI4d+/9VDm02G0OHDqVDhw6sWrWq4PGt//yNO/sY44d3IbyCfFgE+HVTIslnc1EUaZGXdRLiZYDitJO7dwO2xD1al1IG6Ii6aSgRXe+T1refWLZsGW+99RZ33HEHn376Kc2aNWP48OFs3boVOL83wNmzZ/nmm2+YP39+ia8zZ84cPvvsM/r27cu4ceM4ffo0gwcPJi/v/DoLa9asITExkQcffJDx48cXHLdkyRLaXdeWKtHBTH6pG7Xiwq7tDfsBVYWP52yVe+M+QEK8LHC7yVj1jdZVaM9gJPauEYQ07SL3v/3IN998Q8+ePQtawW+//TYmk4mVK1cCsHXrVjp16sQHH3yA2+0u8XVmzZpFnTp1ePnll+nZsyejR4/m9OnT/PjjjwCcOHGCJk2a0Lt3b06ePAnAzp07adSoESaTCZPRQGiQmQ+f6kT7JjLgLelMLj+tP4rNId3qZZmEuMYUh4301TNRyvlodJ3ZQpX73yGwVjMJcD/z0EMP8fjjjxf83e1243a7uTC7tWHDhixatIhPP/20xNew2WycOHGCunXrFjzWqlUrAgIC2LRpE3C+u12v16PX6wu6iRcsWED//v0LjtHpdFjMRl4c2JoebauWuB5/Me+3g+TkO7UuQ1yGhLiGVFXFlZ1Gzo7VWpeiKUNwGHGDP8QcWwu9SQLc3/Tp04dGjRqhqiqpqam8//77ANx4440ABAcH07RpU+rVq1fia1zoMjf8z/iJ0NDQglZ3bGwsiYmJJCQkEBMTw9GjR6lUqRLBwcFFzhdgNvL4nc247YaaJa7JHzhdCuPnbMUurfEyS0JcQ6rLwdmfpwDld70dY8VY4oZ8jDG8EnqTWetyhBclJCTQuXNnFi1axBtvvEHr1q09du6IiAgCAgJITk4ueCw3N5fMzMyCgO/WrRtpaWkMGzaMgQMHMmfOHAYOHHjJc1rMRh7o04h7epb8w4U/2HM0nY27T+NwlvxWh/AeCXGNqC4n+QlbsCcnaF2KZowVY4kbPAZDcEX0Blkhyt9Vq1aN6dOn07NnT957771CI8SvlU6n46abbmLnzp2sXbuW9PR03nvvPYxGY0HrPCIigmXLlrFmzRr69u2LyWRi+fLltGrViqFDh2KzFZ0ZYjEbuat7XR6+rbHHavVF03/cjVuWqS2TJMQ1oipu0n/7SusyNGMMiyHuoQ/QW0LQ6eXbsDywWCx06dKF8ePHEx4ezieffOLR87/wwgvUrl2bxx57jE6dOlG5cmUiIiKIiooqVENcXByzZ89mwIABjB07ltdff53ExETWrFlz8boDjNx8fQ2e7t+C8rpYYE6+k3m/HcAmc8fLHPntqQHFYSNz/ULceVlal6IJQ2gUVR76AH2gBLi/O3DgALfeeivr1q0reMxkMhEXF0diYqJHrxUbG8uSJUtYtmwZ69ev58knnyQ9PZ369QuvyJaTk0NWVhaBgYFYrVb69u1LkyZNOHHixCXPbTEb6dwqjmH/ae7Rmn3JkvXHyJcQL3PkN6gGFGsu5zYv1boMTRgqRBD30AcYgiqg08siLv4uOjqaw4cPF8wJB3A6nZw8eZIqVap49FojRoxgwoQJ1K5dm6ioKDZu3Ijdbqd3796FXjd37lzuvffeIsdfaU1+i9lIl1bxPNCnoUfr9hUut8JnP+ySldzKGLkRWcoUh42zv0wDpfz9IBhCKhL30Bj0QaES4OVEZGQkt9xyC7NmzSI6OppatWrxww8/kJGRwXPPPVfs86SkpJCSkkKzZs3QX6L3JjIykq+++oqqVasSHh7OmDFj6Ny5M23bti14jcPh4OjRowwdOhS3201QUBCLFy9m9+7d9OjR44p1WAKM3HZDLbLzHPz4x5Fi1+8vNu4+zd09c6kdFyYbEZUREuKlSFVVHGlJ5XKDE31AEFUeHI0+OEwGsZUzH3zwAdOnT2fmzJmcPXuWmjVr8sknn3DzzTcX+xwLFy5kypQpbNu27aJTwgCGDx+O0+lk/PjxOJ1OevXqxeuvv17oNevXr+f2228Hzk9HGzFiBGPHjqV169bFCnE43yIfeFMD8qxOVm6+dBe8v/rs+128/8T1sl1pGSH7iZcixWHj9Nz3sCcd0LqU0qU3UuWB9zDH1kRvNGldjRAeYXe4GPfdNjbuPq11KaXu3aEdaFY3CoOMadGc/AuUElVVsKceL38BDsT0ewZzTHUJcOFXAsxGXrivFU1rR135xX5mxk97cLmk/VcWSIiXEtXpKJfro4d3GUBQndaymYnwSwFmIyMfvo5KkUFal1KqTqbmsGnvaVyyQYrmJMRLgaoo2E8fKXcLu4Q07UrYdbfJWujCr1nMBt5/vCOBAeXrHvHXS/filruxmpMQLwWq20n66plal1GqLNUaE3XzUAlw4ff0ej3hFQJ4ffB16MvRgO20LBt/7UzG5ZbWuJYkxL1MVRRsSQdxnC4/01GModFUuvsV6UIX5YbZZKB+9XAeurV8Lc86d+VB3G5pjWtJQtzLVLeTjHLUCtcZTFQa8Do6CXBRzljM55dn7doqTutSSs3ptDx2H0lDkXXVNSMh7kWq4saWuBdH6nGtSyk1Ubc8jrFijCzmIsoli9nIsP4tqBUXpnUppWbOigM4XLLDmVYkxL1IdbvI+OM7rcsoNSFNuxJcv710o4tyLcBkYOTg6wgwl48PsoeTsjienK11GeWWhLgXOdNP4Ug5pnUZpcIUGUfUTY/KQDZR7ul0OkKDA3jqrvKzWcq3K/bLmuoakRD3EsWeT+aGRVqXUSp0RjOV7nkdndGsdSlClAkBZgPtm1amU3PPbvJSVu1KSCP9nFXrMsolCXEvUV1O8g/9o3UZpSKixyAMIRVlW1Eh/sViNvLMPS2JDg/UupRS8e1yaY1rQX7reoHisJP19xJQ/X/+ZEB8Ayo07yH3wYW4CLNRf37+eDmYQP737tPk25xal1HuSIh7gw5ydqzUugqv05kCiL3zBQlwIS7BYNATFxXCvTfW17oUr1NUmPfbQWmNlzIJcQ9T3S5y965HseVpXYrXRfZ8CL3l4ttCCiHOswQYuaNLHarGVtC6FK9buy0JvewzXqokxD1MVdyc2/iT1mV4naVaY0KadpFWuBDFYDLqeXFga/w932wON3/tSsat+P+txLJCQtzD7KeP4MxI1roMr9KZLMTc8bwEuBDFpNfrqBwVzE0damhditf9vOEoDqeEeGmREPcgxW4l68/vtS7D68K73Yc+oHyMuBXCUwIDjAy+tTHhFfz7w2/CySzO5dq1LqPckBD3INXtwnp0p9ZleJUpMo7QFj2lFS5ECZgMep6+u4XWZXjdT+uOYJMBbqVCQtxDVLeTnF1rAP/eCCCqzxPoDOVr32QhPMVo1NO0dhRtG8ZqXYpX/b41qVxMqysLJMQ9RFUUcnau0boMrwqq24aASjVlcxMhroEl4PwiMCaj//76zbM6+WdfiuxuVgr897uolLmy03GmJWldhtfoDCai+jwua6ML4QEWs4F+nWtrXYZXLVl/FLtTdjfzNglxD1AcdrK3/ap1GV4Vdv0d6M0ymE0IT7AEGLmnZz1Cg/13v4F9xzLIs8oKbt4mIe4BOr2e3D3rtC7DawwhFanYoZ+0woXwIL1ex4N9Gmpdhlct3XAUu0MGuHmThLgH2JITUPL9dz/d8BvuQaeT++BCeJLZZKBLq6rERgRpXYrXrN9xCp2/r3CjMQnxa6TYrWRvWa51GV5jqBBBSNOu6IwmrUsRwu8YDDqG9G2sdRlecybTytks2aLUmyTEr5VeT37CFq2r8JrwzgPkk7QQXmI06GlVP4aaVUK1LsVr1vxzAocMcPMaCfFroKoK+Yf+QXU5tC7FK4yh0YQ0vkFa4UJ4kclo4IE+jbQuw2v+3HUaRZWpZt4iIX4NFIeN3L3rtS7Da8K73otOL98iQniTXq+jaZ0oqkT5546Ap87mkp3nnw2dskB+Q18DvcGE9dgurcvwCmPFWIIbtJfV2YQoBQa9jgG9/HfP8d+3nsTpki51b5AQvwa25AS/7Uqv2PE/sjKbEKXEaNBzffMqRIT65zTODTuScbulS90bJMRLSHHYyd27QesyvEIfEERI407SCheiFOl0cGe3OlqX4RXHT2djlQ1RvEJCvKR0OvIPb9W6Cq+o0LKXv+/jIkSZYzYa6N2+OsGB/jmQ9I/tSbjcss+4p0mIl5A7LxN3dprWZXieTk/F9v3Qm2WrUSFKmw64tWNNrcvwinXbT8lUMy+QEC8B1e0ib99fWpfhFUH12qIz+u96zkKUZQFmI30718Ifd/E8nJQla054gYR4CaguB3mH/tG6DK8I73gX+gDZ6EQIrRgNelrUi9G6DI9TVdh/LEPrMvyOhHiJ6LAnJ2hdhMeZY2tgiorTugwhyrXAAKPfblO6aV+KbIjiYRLiJZB/bCeo/jdAI7T1TTIiXQiN6XQ6mtSOpGKI/41L2X04DUUGzXqUhPhVUhxWrP44Kl1vIKRRJ5kbLkQZoKoqPa+rpnUZHncyNQdFUtyjJMSvmg7byf1aF+FxQbVbIvPKhCgbAsxGbruhltZleMXeo+lal+BXJMSvlqrizDitdRUeV6HVjegD/HdfYyF8jcVsoEntSK3L8LjN+1KwycIvHiMhfpVspw9rXYLH6QOCCKzRVOsyhBD/YjEb6eWHXeq7EtLOT4gXHiEhfhUUlwPr4e1al+FxwQ2vB0UWYRCiLNHrdbRvUtnv5oyfTs/D6fS/gcFakRC/Gi4XtiT/ux8e2vom9GaZGy5EWdSopv91qe864oerXWrkiiG+adMm6tevz6ZNmwoey8vLo379+vzwww8Fj/3www90797dO1WWETqTGXvKUa3L8Ch9UCjmqHityxBCXESA2UDnVv7387l1f6psiOIhHmuJd+3alSlTppT4+FWrVrFq1SpPleMVjrQkcPvXN15Q7VaofvaehPAXBr2eTs2r4G+rlR45dQ5VldkwnuCxEI+IiKBRo0YlPr6sh7iquLEe3al1GR4X0qijLLMqRBlm1OupWzVc6zI86kRKNmaTrEnhCXJPvJgUhx3bib1al+FZeiOW6o21rkIIcRlmk57OLfxrOWSXWyUty6p1GX6h2CGuKAoulwuXy4WiFB1ZeKl74q+88gqvvPIKK1eu5MYbb6Rly5Y8++yz2Gw2ALp37079+vVZvHgxixcvpn79+kXuwdtsNt5//33at29Pu3bteOWVV8jNzS14Pikpifr163PkyBEWLlzIrbfeymuvvXZVX4gr0RtN2PxsvXRL1QbgllHpQpRlBoOejs2raF2GxyWczNK6BL9Q7IWyH3rooRJfZM+ePfz999+88MIL5Ofn8+6777JgwQIeeOABpkyZgsPhYNq0aQA8+eSTANSpU6fg+HfeeYeNGzfy5ptvYjabGTNmDC+99BKffvppoevMnDmTP//8k/79+9O0qWfnPasuJ0p+tkfPqbXgBu3Ryb7hQpR5ocFmwisEkJlj17oUj9l/LIPrGlciQLrVr0mxQ/ydd96hcePzXa92u52BAwcW+yKHDx9m8eLFNGzYEIA1a9Zw6NAhgIL76BEREQC0aNGi0LFJSUksXryYKVOm0LVrVwBycnJ49dVXycrKomLFigWv3bBhAwsXLiQy0vNTMhzpSR4/p9aC67eTtdKF8AEut0LTOlGs235K61I85sipLFwuRUL8GhU7xGvWrFnQus3Ly7uqi7Rs2bIgwAHCw8NxuYo3IvrQoUOoqsqwYcOKPHfixIlCIf7MM894JcBVVcV+yr+60g0VItBbQrQuQwhRDEEWE20axvpViB9LzibALAF+rUpl38n4+Guf5/jFF18UCmyAWrUKbxDg6S70C1SHDXvKEa+cWyuW+AaguACz1qUIIYqhRd1orUvwKKvdRU6+g/AKFq1L8WmlMjrdYLjypy2z2Vww2O3f6tatC5wfWNe0aVOaNm1KxYoVmTlzJunppbUbjorj7IlSulbpCKzZDJ2s0iaEzwgKNBFd0b9+Zo+eOqd1CT6vzEwxa9asGX///Tdr165l7dq1zJ07F4CqVavSr18/3n77bX766Sc2bNjAK6+8ws6dO6lUqVKp1KYzBuBMTy6Va5WWwOpN0PnbChJC+DHlv/fF/cn+Yxm43LKO+rUole704rjjjjvYv38/I0aMwG63069fv4Ln3nnnHcaOHcvo0aNxuVxcd911jBkzBrO5dLqCFXseqtN/RoXqzBaMYf7VNSeEvwv8733xNVtOal2KxySm5GB3uDEGlpn2pM/RqbL23RXZkg6SPNOz8861FFizGTF3vojBEqx1KUKIq5Cakc8jo1ZqXYbH1IoLY/QTHQkONGldis+Sjz/FYE89pnUJHmWp2gi9SeaHC+FrIsMsmIz+82s7NSMfs8l/3o8W5Kt3BYrTjtNPBrX9mpDB0J8S6PrUe/S7405WrFhx0de98847zJ49u8TXWbhwIb1796Zp06bccsst/PLLLwXP2Ww2hg4dSocOHQqtlb9hw4ZCq/QJIYqyO91Uq1RB6zI8Js/qRJG+4GsiIX4FqtuF65zv7337x7FzTPo7mZ61KzJt0ic0a9aM4cOHs3XrVuD8XPizZ8/yzTffMH/+/BJfZ8mSJYwcOZJ27doxffp06tevzwsvvMCff/4JnF/oJzExkQcffJDx48cXOq5Vq1bX9iaF8HN6nY7acWFal+FRmdlFZyWJ4pMQvwKdTocrJ0PrMq7Z4v1pXF8tlAFtanJ9xxt4++23MZlMrFx5/v7a1q1b6dSpEx988AHua1hPfcaMGdSrV4933nmHDh06MGbMGCIjI/nqq6+A8wv0NGnShN69e3Py5PkBOjt37qRRo0aYTHJfTIjLCQwwUr+af+1odiYjX+sSfJqE+JUYjLhySms+uvfc2SiKe5pEY46phuJy4Ha7cbvdBXv6NmzYkEWLFhVZj/5qHDhwgEOHDtG9e/eC6Wtms5mOHTuyceNGMjIyUBQFvV6PXq8v2EhnwYIF9O/f/9rfpBDlQP3qEVqX4FFJZ3K0LsGnlZkpZmWVTm9Ayff9b7LONc53wRkj4zmTls60z2cAcOONNwIQHBxM06ZNSUoq+Rrxhw8fBv5/gZ4Lateujdvt5vjx48TGxrJ27VoSEhKIiYnh6NGjVKpUieBgGSkvRHFUjg5Gr8Nv7iUnnc3D4XTL/uIlJC3xK1CsuYCf/LQASc4AuvboxaJFi3jjjTdo3bq1x86dmpoKQFhY4Xt2oaGhAJw5c4Zu3bqRlpbGsGHDGDhwIHPmzLmqzXSEKO8URSXSj1ZuO5ORj9MlC76UlIT4Fbjy/GtZwFrN2jB9+nR69uzJe++9V2iE+LXS689/O/3vfvMXuuwNBgMREREsW7aMNWvW0LdvX0wmE8uXL6dVq1YMHTr0okvvCiH+n8utEhsepHUZHpMq98SviYT4FbizfX9k+r9VqFSdLl26MH78eMLDw/nkk088du7Y2FgAsrML77t+4e/R0edXibNYLMTFxTF79mwGDBjA2LFjef3110lMTGTNmjUeq0cIf2TQ64iJ8J8QP5OZL13p10BC/AqcWSlal3DNjmZYeXxJAluS89AHnP/hN5lMxMXFkZiY6LHr1KtXD4CDBw8WevzQoUMYjUZq1KhR8FhOTg5ZWVkEBgZitVrp27cvTZo04cQJ/5iTL4S3BJgMxEb6T4jn21zoZRuHEpMQvwzV5cSVdUbrMq5ZRKCJE1l29mW4UN3n93F3Op2cPHmSKlWqeOw6derUoWHDhqxdu7agC93hcLBx40Y6depUaCvZuXPncu+99xY5h2zKIsTl6fU6qsX6z4IvcH4RG1EyEuKXobqduLJ9f3pZxUAjXWqG8eOeZGbPns1ff/3Fq6++SkZGBkOGDCn2eVJSUtixY0eRe97/NnToUBISEnjrrbf4+++/efnll8nMzGTw4MEFr3E4HBw9epSGDRsSFRVFUFAQixcvZvfu3VStWvWa3qsQ5UGVqBCtS/Aom11CvKRkitllqKqK2+r708sAnrs+jh9PBzBrznekpaVTs2ZNPvnkE26++eZin2PhwoVMmTKFbdu2XXJKWJ8+fcjPz2fGjBksXryYatWqMWHCBNq3b1/wmvXr13P77bcD5we7jRgxgrFjx9K6dWt69OhxTe9TiPIgMsyidQkelW93EoF/vafSIruYXYbblkfK3PewJydoXYpHhLa+iYgeD8jmJ0L4OLeicueIJX4zV/zjZ27wu0VsSot0p1+OTofi9J8pT4bQKHTG0tmDXQjhPW63QpDFf5Ypzsl3al2Cz5IQvwydTofq8J8QN0VUloFjQvgBt6L61R7c2XkOrUvwWRLil6MzoDjtWlfhMYagUK1LEEJ4gKKohPhRiJ/L9Z/fs6VNQvwydHqDX7XE9WYZOCKEP1Dxv5a4+zKzXsSlSYhfjl6H6vKfbh6dDGgTwi/o0PlViOdZnbhk/fQSkRC/jAsLo/gLGZUuhH/Q6/0rxPNtTtz+MtS+lEmIX4bq8q8RkzIyXQj/YDTo/OqeuMutIpOdS0ZC/DL8qSsdJMSF8BdGgx5LgP+s1aVIgpeYhPhl+F1L3OA/P/RClGc6nQ6DH+0aokhXeolJiJcjEuJC+A//C3EJ8pKQ3+qXodP71x63qqqg08nnNiH8QbvGlYiuGKh1GR4REWaRhahKSEL8cvR+FniqCvJzIoRfCERHuOofP9AVVB16aYiXiIT4Zfhdq1VRwM96F4Qorw7uTWXNsgNal+ER9RrFcPt9LbUuwyf5WUp5mJ+1xFVVFlMQwl8ofrTCmc6P7u+XNv9KKU/zt5a4TOMQwi+oqupXI7rlfnjJ+VlKeZbOz1riSEtcCL+gqiqK239CXK/XITleMn6WUh7mZy1x1Y+634Qoz9wuBWu+/yxGJd3pJedfKeVh/jawTXX6z45sQpRniqJizfefxaiMRr10qZeQf6WUp/nZN5Xbmqt1CUIID1BV/CrEAwNN6A3+9fu2tEiIX45e71dd6u78c1qXIITfOHPmDK1ateLOO++8quM+//xz6tevX+S/xx57DACbzcbQoUPp0KEDq1atKjhuw4YNbNq0qeDv/tSdHhRsxmiU6a8lIfPEL0N1udAHhqDkZ2tdike4czO1LkEIv/Hhhx+Sl5d31cdlZ2cTFxfH+PHjCz0eGhoKwJo1a0hMTOTBBx9k/Pjx9OzZE4AlS5YwatQo4PxAMH9qiYeEWrQuwWdJiF+O4sIQWMFvQtyVIyEuhCds2bKFpUuXEhQUdNXH5uTkEBsbS4sWLS76/IkTJ2jSpAm9e/dm6tSpAOzcuZNGjRphMp3fftRg0PtVSzw4RHZYLCn/6Sv2AlVV0QdW0LoMj1HyzvndzmxClDa32827775Lp06daNKkyVUfn52dTURExCWfVxQFvV6PXq8vWNBlwYIF9O/fv+A1Or0Oh9199cWXUUES4iUmIX4FhqBQrUvwGLc1G9Xt0roMIXzanDlzOHr0KCNHjizR8Tk5OdhsNoYMGULTpk3p1q0b06ZNKwjs2NhYEhMTSUhIICYmhqNHj1KpUiWCg4MLzuF0+NfPsSVQQrykJMQvQ6c3YPCjlrg7N1OWXhXiGmRkZDB58mQefPBBatasWaJzZGdn8/fff9OmTRumT59O27ZtmThxIt999x0A3bp1Iy0tjWHDhjFw4EDmzJnDwIEDC53Dn+6HA1gC5c5uSclX7jJ0BiP6IP8JcWdmqt9trypEaRo7diyBgYE8+eSTJT7Hgw8+SGhoKJ07dwagdevW/PHHH8yfP5/777+fiIgIli1bRnp6OiaTia+++orly5czbtw42rRpw6RJk8hMz/fUWyoTzAESRSUlLfHL0BmMGELCtS7DY1znzqIzmrQuQwiftHPnThYvXszzzz9PQEAALpcL9b/7Efz7z1dy6623FgQ4gNlsplq1apw8ebLgMYvFQlxcHLNnz2bAgAGMHTuW119/ncTERNasWcPZ1BzPvjkN6fQ6jAaJopKSr9wVGEMuPQDF56gKbj8ZaS9EaVu3bh2qqvLyyy/TuHFjGjduzD///MPevXtp3LgxmzdvvuI5MjIyWLhwIUlJSYUet9lsGI2FW6M5OTlkZWURGBiI1Wqlb9++NGnShGPHjpN+5uqntpVVlkAjbrfc5isp6cO4AkNwmNYleJQr6wxGP+pdEKK03H333XTt2rXQY2+99RY2m40PP/ywWPfIXS4XI0eO5IUXXmDo0KEApKenc/z4cdq1a1fotXPnzuXee+8tehIVv+pODww043arSCdhyUiIX4G/hbgj7SSW+PpalyGEz4mNjSU2NrbQYxdGjDdt2hSAlJQUUlJSaNasGfqL7IIYExNDr169mDFjBuHh4cTExPDFF1+gKApPPPFEwescDgdHjx5l6NChuN1ugoKCWLx4Mbt376ZLl24k7vGfJZSDQ8zFvhUhipLu9Cvwp3viAM6zJ1FkrrgQXrFw4ULuuecerFbrJV8zZswY+vXrx5QpU3jqqaew2+188cUXtG7duuA169ev5/bbbwfAYDAwYsQIxo4dS61atejZswdZGf7TEg+LCPK3bSpKlU6Vj0CXpbpdHB/3oN/sABZUpzXR/Z7FYAm+8ouFEGXOuUwrE99frXUZHnNDzzp06V3voj0XV2PTpk088MAD/Pzzz9SrV6/g8fr16/PGG29w//33X2upZZK0xK9AcTkwhcde+YU+wp56DJ1Bbj4J4av8aWQ6QHSlCtcc4J70ww8/FNpopqwrO1+5skoFY3glravwGHdOBqpbutOF8EUul5vjh9O1LsOjIqNDtC6hkMWLFxdrpkFZISF+BXqTGZMfhTiA40yi1iUIIUrA5VQ4lehfGxmFVQzUugSfJiF+BTqDEXN0Va3L8Chb4l5UxX82TxCivDCZDSQnndO6DI/RG3RYgkpnktSgQYOYPHky8+bNo0uXLrRp04a33nqrYGT8hX3dN2/ezJQpUwr+/u85/ZmZmbz00ku0adOGTp068cEHH+Bw/P9ucps2baJ+/fpYrVZmzJjBjTfeyJQpU7z6vmSKWTGYovwrxO2nD6M47BgsV7+NohBCO9lZNpwO//kAHhEZjNOhEGApnfbkqlWrcDqdjBw5kqNHjzJ+/Hg6d+5Mjx49mD9/PgDvvPMOjRo1Ktg1LiYmpuD4Z599lszMTD766CPy8/N57733cLvdRTbD+eCDD9i+fTsDBgwoNOvAGyTEi8EUFq11CR5lP30EnVH+6YXwNSePZWhdgkdFxgSX6hzxEydO8OuvvxYE888//8yhQ4fo0aNHwf7uISEhVKpUqch+75s3b2bTpk38+OOP1K1bF4Djx48zc+ZMXn/9dXT/mie3d+9eFixYQGCg928VyG/yYtAHhoDeCIp/bP/nzs08v6+4Ubb/E8JXOOwujh/xr0FtUTEhmMyltylTjx49CrWsw8PDcbmK93v94MGDAAXz9/8tMzOz0B7xr7zySqkEOEiIF4vqcmCqGI0z47TWpXiM7eR+guu20boMIUQxqSp+N6itcnwYBg9tfmIynZ8663b//+2GCwFtNp9vsMTHx1/zNebOnVvk8ZCQwiPsmzVrdk3XuRoysK0YVEX1u/vi+Yc2ozguvaqUEKJs0Rt0pJ3xn+VW4fwccU+Ji4sD4OjRowWPHT58GPj/8DYYrtzqN5vN2GxFF/eqW7cuTqeToKAgmjZtStOmTVFVlVmzZmG32z3xFkpEWuLFoDcHEFClDvmHfGfu4JVYj+0CnXyGE8JXnE46h7+tr1kx3HODa2NjY+nQoQPjxo1Dp9MRGBjI5MmTiY+Pp02b4vc6NmvWjGXLltGxY0fy8/PJz8+nb9++tG/fnrZt2zJ8+HCefvppTCYT48aNIywsjAoVPPdh5GpJiBeDTm8gsFpj/Kkjy3XuLIo9H70pQOtShBBX4HS42bfTf27nAUREeX5Q27hx4xg1ahSjRo3C6XTStGlTxo0bV9CdXhyPPPIIJ06c4Kmnnir4+wWTJk1i1KhRvPrqqxiNRjp37syrr77q0fdwtWTt9GJS7FaOf+xfa+9G3/YUIU27FhpVKYQoexwOFzMmrPerfcSbtoqjz3+aEmCRtuS1kP7U4tLrMYRGaV2FR+UnbEGxy31xIco8Fax5/rVccrVaEZgDSm9kur+Sj0DFpLpdBFSuRX52mtaleIw1cQ96o2yGIkRZpioKitPJ8Dd7kJmWx75dpzm09wynT50DH+5HrV47UnoBPUBCvJj05kAsVeqRf9B/Brcp1lycGacxx1TTuhQhxCW4rTaOjBtP9r79VLrpRlrccAPtOrUDnY7DB86wf1cKRw+dxW7znXUsDEY94RGyYqQnSIgXk06vx1KtkdZleFzO7rWEdx6A3iQLvwhRFulNRs7t3oPqdJL84xKSf1wCQGiTxlS6+SZq3taEgNAWnDmdw76dySTsO8PZ1LI9Fa1SlVCcTjcGo9zRvVYS4lfBH1useQf+JrzzAK3LEEJcwrk9e1GdRe+HZ+/ZS/aevQAYQ0KofNsttOvQgc496+J0KRzam8qB3SkcO5yGy6mUdtmXFVc9XALcQyTEr4ZOjzE0Glf2Wa0r8RhXViru3Az0frbdqhD+wJVv5ewf66/8utxcTs6dz8m55zfxCG/blmq9e1H/rkaYQwJJPpHF3h2nSdh/hqyMfG+XfUW16kZhMsmgNk+QEL8KquImoEodvwpxgOwdqwnv1F+61IUoY/RGA5lbtl71cZn//EPmP/8AYI6MpErfW+jUrh09b22ANd/Jgd0pHNybQuLRDBR36Y+Oi6tWsdSv6a8kxK+C3hxIYJ1W5B3YqHUpHpW370/CO/XXugwhNPP5558zfvz4Io937dqVzz//vFjn6N69O6dOnSry+HXXXce3336LzWbjmWeeYffu3bz33nv07NkTgA0bNmAymWjXrl2h41RVJWvXbly513Z/25GezvGvZ8HXs0CvJ+qGjtTt2ZOmA1tgDDBz4lg6+3aeb6XnZnt/+dCgYDMBgRI9niJfyaug0+kIqt1S6zI8zpWViuvcGcxR17Y5gBC+Kjs7m7i4uCJBHhoaWuxzTJkyBYfDUeixxx57rOAca9asITExkQcffJDx48cXhPiSJUsYNWpUkfO5rVZO//zL1b6Vy1MU0v5YT9p/u+gD4+OofNutdOvSipvvaEL2OSv7d6VwcG8qpxIzvbLMa1y1iricCkajdKd7goT4VdIHBGEMi8Z1zs+61LeuIKLb/ejNFq1LEaLU5eTkEBsbW2QP6avRqFHh2SsHDhwgKyuLLl26AOf3sm7SpAm9e/dm6tSpAOzcuZNGjRoV7MD1b6rTSdbOXSWupzisSac4+ul/exqMRmJ79qBJt660atcag9HI0UNn2bcrhSMHz3hssZmqNWWRF0+SEL9aqkJgjWbk7FytdSUelbv7DyK6D9K6DCE0kZ2dXWg/aE9YvXo1Op2Obt26AaAoCnq9Hr1ej6KcHy2+YMECXnvttSLHuh0OTi//lVLd8cTlInXFr6Su+BWA4Dq1qXLrLfTu3YyAe5qRcTaPfTtPc2hfKimnskt8mfpNYtHrZWS6p0iIXyW9OZCgem39LsQVez75h/4huOH16OQHTJQzOTk5AAwZMoTNmzcTFRVF//79efzxx0scOKtXr6Z58+ZER0cD53fZWrt2LQkJCcTExHD06FEqVapEcHBwkWN1QOrKVSV+P56Qd/gICZ9MAkBvsVCpz0206tSJDl3ao6j8a6GZNBz24i00ExhkIjyy6PsVJSe/rUsgsHpjzv+Y+Zdzm5eiuhxXfqEQfiY7O5u///6bNm3aMH36dNq2bcvEiRP57rvvSnS+lJQU9u7dS48ePQoe69atG2lpaQwbNoyBAwcyZ84cBg4ceNHjcxIO40hLL9G1vUGx2Uj+4Ud2P/8iWwbcy5EPRlPZmsQt/erz4ru9eOTZTnToWouomJDLnqdmvSjcLncpVV0+SEu8RHSYY6rhOJOodSEeZU9OwJ2Xhd4sc8ZF+fLggw8SGhpK586dAWjdujV//PEH8+fP5/77r373wlWrzrei/x3iERERLFu2jPT0dEwmE1999RXLly9n3LhxtGnThkmTJmGxWHDl55O85GfPvDEvObdrN+d27QbAGBpKldv60L799XTpVRenU+Hg3hQO7E7l+OE0XK7/X2imQZNKBFhkvwZPkhAvCb2BwBrN/C7EAc5tWkpEdxngJsqXW2+9tdDfzWYz1apVIyEhoUTnW716NTVq1KB27dqFHrdYLAWj4AcMGMDtt9/OG2+8wfTp01mzZg19+vQBFTL/ufq54VpxZWdzYs48TsyZB0BE++uofmMvGtzdGHOQhVMnsti7M5nD+89Qu360xtX6HwnxEtCbzAQ1aMe5zWX703JJ5Oz5g4geMsBNlB8ZGRmsXr2aDh06EB///9MsbTYbRuPV/4rMycnhn3/+YdCgi/8c5eTkkJWVRWBgIFarlb59+/LXX39x4sQJFKeT1FWrUd2+2+Wc8fdmMv4+v1GUOSaaKrfeQuf219Hr1oaopTlQr5yQe+IlFFC5Nhj87zOQas8nd+96VLd/7V0sxKW4XC5GjhzJsmXLCh5LT0/n+PHjJZpytnbtWpxOZ6Gu9H+bO3cu9957b5HHdTodqqKQ8t/R4f7AceYsx7/6hp1PPEnywoUY/W8okeYkxEtIdTkJrNFM6zK8ImvDIlRFPjGL8iEmJoZevXoxY8YMFi5cyB9//MHw4cNRFIUnnngCOD9QbceOHQVTwy5n9erVhIeH06pVqyLPORwOjh49SsOGDYmKiiIoKIjFixeze/duqsbHk71vP7bk0x5/j2VBdOcb0JvlfrinSYiXkD4gkJAmN2hdhle4zp0l//BWVMV3u/SEuBpjxoyhX79+TJkyhaeeegq73c4XX3xB69atAVi4cCH33HMPVqv1sudxOBysX7+ebt26XXRq2vr167n99tsBMBgMjBgxgrFjx1KrVi26drqBE7NLNhq+rDNHhGOJjdW6DL+kU+UmRYkpdivHxz0Aatna5s8TTFFViXv4Q/SmAK1LEcLvqapKzoGD7H7lda1L8YrYG3tRc8hDGCwyYNbTpCV+DVRVxVK1odZleIUz7SS2kwdQi9F9KIS4NordTuKsOVqX4TXRXTtLgHuJhPg10JsD/LZLHSDzj7my+IsQpcCafJrsffu0LsMr9BYLFerV1boMvyUhfg10egPBDa8HnX9+Ge3JCTjOnpBpIUJ4kdtm4/hX32hdhtdUbNEcxSmzXbzFP9OnFOl0OizVGl35hT4q/bcvpTUuhJeoikJ+4gnO7d6jdSleU+nGXhgCA7Uuw29JiF8jnclChWbdtC7Da+zJh7Ee24XiLt4GB0KI4lMcDo5+8ZXWZXiNKSyUsKaN0elkgri3SIhfI51eT3CDdqD33/1x01d+DTLdTAiPUhWFnEMJ5B4q2dKuviCmR3e5HedlEuKeoKoE1myudRVe48pKJWfn7yhO6VYXwlMUp9Ov74UDVL6lD4YAmabqTRLiHqAzBxLWto/WZXhV5rq5oEprXAhPcNsdnF37B3nHjmtditdUaNgAY3CQ1mX4PQlxD9DpdFiqN8YQXFHrUrxGseaSueF7FIdN61KE8Hmq08Hxb77VugyvqnLbLeilFe51EuKeokKFFj21rsKrsjcvRbHna12GED7NbbVxeNrnuPP992fJEBxERNs26C6y9KzwLPkKe4jeZCa07c2A/47CVN1Ozvw0EcVp17oUIXyS4naTe+wY6X/+pXUpXhXd+Qaf3k7Vl0iIe5DeaCawpn/ubHaBLXEP+Yf+QXHJ4g1CXC3V5eLwxMlal+F1VW67VeaGlxIJcQ/SmQMJa3eb1mV4XdqvM0BCXIir4rbZOLX4J2wpqVqX4lXBtWpijozQuoxyQ0LcgwoGuIVU1LoUr1KsuaT9OkMGuQlxFVy5eSQt/F7rMryucp+b0Zlk3/DSIiHuaSpUaO7fA9wAcvesw5F6XPYcF6IY3DYbCZ9MQnX598qHerOZqBs6ojf47+JXZY2EuIfpTeb/zhn33wFuF5xZMglVutWFuCzF6SRr+w6/Xh/9gsjrO8gKbaVMQtwLdEYzgbVbal2G17myUkn77UvpVhfiMtxWK4enfKp1GaWiSt9bMcqAtlIlIe4F+oBAIroM0LqMUpG7cw3W47tRZKczIYpw2+0c+GAsrtxcrUvxusD4OALj47Quo9yREPcSU2QcAXH1tS6jVJxdMgnVbtW6DCHKFLfNRvKSpWTv26d1KaWi2n0D0BmNWpdR7kiIe4nOZCai671al1EqFHs+KYs+lEVghPgvxe3GmnyaE9/N07qUUhEQE0NE2zYyoE0DEuJeotPpCYirhym6mtallAp70kHObfpZ7o8LAThdTgJioglr3EjrUkpF1Xv6gyyxqgn5qnuRzmAkonP5uDcOkLluPs70JFS3f0+jEeJy7C4HH/89nflHfqPByFepdv99fh1w5ohwom7ohF660jXhv99ZZYBObyCwdkuMFWO1LqV0qAqn541CseXJNBNRLtlcdpYeXMXOlP0sObCSV9d+TMTNPWk6ZhSmihW1Ls8r4u66E53O/6fUllUS4l6m0+sJv6G/1mWUGiU/m9Nz30WV++OinHG6XRzJSGTBnqUFjyWeO8WQ5a9xKkyl5dSJhDX3r70VjBUqENuzB3qzrNCmFQlxL9MZjAQ37Oj3S7H+myP1OGeXTpWBbqLcUFWVPGc+H//5OSqFe6EUReGtPz5h3uFfafDay37VvR53Rz/Kw8JWZZl/fCeVdToI63CH1lWUqrz9f5H9z3IZ6CbKBbvbwQfrppDnuPQe4T8fXMXLa8cScVNPmn04GlN4xdIr0AuMoaFUvqUPhgCz1qWUaxLipUBvNBPasle5ao0DZPw+G1vSQVkIRvg1u8vBR+s/5VjmySu+9uS5ZIaseI2TFdy0mjrJp7vXq959F+ivvRW+adMm6tevT/369WnZsiUDBgxgxYoVHqjQM5KSkqhfvz5JSUklPkf37t3p2bMniqIUPDZo0CAGDRoEwJ133smzzz5b6JgLX5cdO3Zc9twS4qVEp9MT0W2Q1mWUMpXU7z/Cde6sjFgXfsnucjD576/Zc+ZgsY9RFIW3101kzqHlNHjtZao/cL/Pda+bI8KJvbEnBrPnWuEff/wxEyZMICYmhmeffZYFCxZ47NxlwcmTJ1m/fv1FnxsyZAgrV67k9OnTBY99++23tG7dmhYtWlz2vL71nePDdEYTwQ07YIqK17qUUqU6bCTPGok775zseCb8it3l4OvtC9h8akeJjv/l0Gpe/v0jKt7YjWYfjcYcEe7ZAr2o6r0D0Hn4g0f9+vXp2rUrkyZNolu3bowbNw6Hw7968ebOnXvRx2+66SYqV67MnDlzgPOt/zVr1vDII49c8ZwS4qVIZzAS1fvK/yj+RsnPJnnm6yi2fFRVufIBQpRxNpedhXuWsubon9d0npPZp3lkxeucCHbRcspEKrZo7qEKvScgJproLjeg9+Ke4ffddx9ZWVls377da9cobTExMfzxxx8kJycXec5gMDB48GAWLlyI1Wplzpw51KhRg27dul3xvBLipUinNxBQpS6WauVjFad/c2WfJfnbkagy0E34OJvLzm+H/2DJwZUeOZ+iKLyzfhKzDy6j/qsjqP5g2e5er37/QHReXl61QYMGABw5cgS3281HH31Ep06daNmyJYMHDyYxMbHgtYMGDWLy5MnMmzePLl260KZNG956661Ca1X88ccf9OvXj+bNm9O7d29++umnQtc7fPgwDz30EM2aNaN79+5Mmzat0P1rgNzcXJ5//nlatmxJjx49WLt2LXD+38/lcl30P7f7/3sfb7zxRsLCwpg/f/5F3/N//vMfAObPn8+iRYt4+OGHizX/vux+p/gpvdlC1M2PUR6nZTjTkjj93bsyYl34LLvLzsYTW5m9c7HHz70sYQ0jfv+Iir260WzsGMwRER6/xrUKrBpPRPvrvL46W8X/LoyTk5PD9OnTmTVrFi+++CLTpk1Dr9czcuTIQq9ftWoVs2bNYuTIkTz66KPMmzePNWvWAOfvRT/11FM0atSI6dOn079/f1577TVOnDgBQGpqKgMHDkRRFKZMmcLQoUP57LPP+Prrrwtd4+WXX8ZisTBp0iTi4+N55ZVXUBSFqVOn0rhx44v+16tXr4LjzWYzd911F4sWLcLpdBZ5z4GBgQwcOJCxY8disVjo27dvsb5Wsk6eBoyhkQQ36kjevg1al1Lq7MkJpC78kNi7X0FvCtC6HCGKze5ysCvlAJ9tme21ayT9t3t9ZMdhtJzyCQfHjidr+w6vXe9q1R3+jFe70S/4dwu0QYMGTJ06lS5dugDnQ/ett94q9PoTJ07w66+/EhMTA8DPP//MoUOH6NGjB263m9dff51+/foRGBhI48aN+fzzz9mzZw/VqlXju+++A2DatGmEhIQA5z88WK2Fd2asWrUqo0ePBs5/yLjrrrs4e/Ysd999N127dr3o+zD/z8C/AQMG8OWXX7Jy5cV7ce6//36mTp3K3XffXeTYS5EQ14DeHEjUjYPJO/g3lMNR29bju0hd9BGx/3kJvdmidTlCXJHD7eBwxnHGb5zh9SWFFUXh3fWTualuNx545SVSlv9K4qzZoGg7niS6e1eC4qp4fEDbxWRnZwMQGhpKly5dWLFiBa+99ho7duzg2LFjRbq6e/ToURDgAOHh4bhc53+31qhRA5vNxmeffcbWrVvZs2cPNpsNm+18j+C+ffto2LBhQYADPProo0Vquu+++wqdH8DpdBIfH09sbPGW1o6Pj6dLly6XHOAW8d/elwvnLw7pTteIzmQhrM0tWpehGevRHaQsHIPikFXdRNnmcDs5lZ3KB+um4C7FGRYrEn7npTUfUrFnF5p/PAZzpHbd68YKIdR6dAiGwMBSud7Bg+en7NWtW5fnn3+eUaNGERMTw4svvsjUqVOLvD4+/tKzfn7//XfuuusukpOTueOOO1iyZAlVqlQpeF5V1SL3nlNTU9m2bVuxr3E1Bg4cyObNmzl27JhHzichrhG92UJ45/7og0K1LkUzBkswTv35gUJClEU2l52E9GO8tWYcDnfR+5jedionhUeWvc6xQBstJ0+kYquWpV4DQM1HHi7VXcrmzZtHdHQ09evXZ/ny5bz00ksMHz6c7t27k5qaWuT1hssMtFu0aBGtW7dm7Nix/Oc//yEkJISsrKyC5xs1asS+ffvIzc0teOybb77hpZdeKnQevYd6IDp16kSNGjU4e/asR84nIa4hnd5I9M2Pa12GJgJrt6Riv2eYtmkWb60ZT54jv0gXmRBasrns/H1yG++tnajpB00FhffWT2HWwSXUf/lFagx+sFRHr1doUJ/IDu3Re3Bhl4s5ePAgf/zxB88//zwrV67kjTfeICAgAIvFwqpVq/j777+ZNGlSwX3pC93lVxIWFkZCQgK///47S5Ys4b777iMvL69g5Ph9992Hqqo89dRTrFu3jvnz5zNv3jzuvvtur7xPnU7Hvffe67HzSYhrSGc0EVirOYG1WmhdSqmyVGtMxH9e4sut89mYtI1jmSd4bdVH5DjySrW7UohLsbscLN7/K9M2z0IpI2sbrEj4gxfWjCG0xw00//hDzFGRXr+mzmCg3nPPYgjw/iDUF198keHDh5OWlsZXX31F7969MZvNfPzxxxw6dIhHH32UjRs38u677wKwZcuWYp332WefpUGDBgwfPpwJEyZwzz330KRJk4LjK1WqxLfffouiKDz11FNMnz6dJ554olgLrZTUnXfeSaCHbk3oVNn4WXOuvCxOTn2yXGzfaa5ch6hB7zBn14/8eviPQs9FBobzXo8XqWgJxWiQMZdCG3aXg882f8ufJ4sXEqVNj57XOj1Jo4o1OTRuAplbt135oBKKu/N2qt7TH4NFBqCWVRLiZYDitJO9YxUZv32ldSleZYquRvRDo1m0b/klF8qoYA7m7e7PExMcRYBRdkcSpUdRFOxuB2PWT2X/2cNal3NFvet04cHGt5P620oSv/kW1e3ZXixzVBStpk6UAC/jJMTLCMVpJ3nm6zhSPTNisawxhscS88jHLE34nQV7ll72tSa9kaFtB9IuviUWo8wlF97nUlzk2vN4+/cJJOcUHThVVlWuEMv7NzyL7mwW+0d9gCMt3WPnbvzOm4Q2aVyqA9rE1ZN74mWEzmgi5vbhoPO/fxJjaBTRQ8ay6thfVwxwAKfiYuqmmXy9bT52l8Pr83JF+eZwOUjOOcNLv47yqQAHOJ2TyqPLRnI4II+Wkz8hvE1rj5w34rq2VGhQXwLcB0hLvAxRHDYy1s0ne9MSrUvxGH1QGLFPTGRD0g5mbP3uqo+vXjGe1zo/RbA5CLPB+ytFifLF5rJzMO0IYzd8pskUMk/qVbszg5vcQepvq0j8ZlaJu9f1Fgttpn+KKaz8Tn/1JRLiZYzisHHy82dxZ6dpXco101uCiX1iMlvOHmTK39+gUrJvtSBTIM9f/yj1ompJ97rwGLvLwcoj6/l25/d+09tTOSSa9zo/hz4ti/3vj8GRdvW/R2oOGUxs716lMiJdXDsJ8TJGcbtwnD5M8syRUMLQKxOMAVQaNoU9WScY99f0a/4lqUPH7Y1u4s6GN8mAN3FNHG4nNqeN8X/NYN/ZBK3L8Tg9el7p9DhNwmtzaPxEMv8p/ij7oOrVaTb2AwlwH+J/N2B9nN5gxBxTg7AO/bQupeT0Rio9MZFDOaeZ8Jdn1ppWUVm8bzlj1k8lz5GPq5ytOb927Vpuu+02mjVrxk033cS8efMKPZ+Wlsazzz5Lq1at6NKlC59++ulVf90VRWHChAl07NiR5s2bM3jw4EJLQ9psNoYOHUqHDh1YtWpVweMbNmxg06ZN1/YGS4nNZWf76T08s+wtvwxwOL84zOgN0/h634/Ue/E5aj76cLG2DtWbzTR87eVS2eBEeI6EeBmkN1sIv+FuzJVqaV3K1dMbqfT4RI7bsvhow2e4PbxQxt4zh3h+xbskZZ8uN8u1JiYmMmzYMOLj45k6dSpNmzblrbfeYvny5cD5laseeeQRUlJSmDBhAvfddx+ffPLJJfctvpQ5c+bw2Wef0bdvX8aNG8fp06cZPHgweXl5AKxZs4bExEQefPBBxo8fX3DckiVLaNWqlefesBe4FDdWp43PN89m3J/TyXdar3yQj1t5ZD3PrR5NSOcONB//EQHR0Zd9fa2hQzCFVyyVDU6E58i/VhmlM5qp1P8VdCbfmqMZ++jHJCs2Rq+bjEvxTms503qOV1eOYe2xjeVi9Prs2bMxm82MHTuWG264gXfffRez2cyiRYsAWLp0KUeOHGHKlCl06dKFxx57jBYtWvDjjz9e1XVmzZpFnTp1ePnll+nZsyejR4/m9OnTBec5ceIETZo0oXfv3pw8eRKAnTt30qhRI0xluPVmc9k5mnGC55e/W2YXcPGW1NyzDF3+BgeN2bSYNJ6I69pc9HUR17Ul6oZO0o3ugyTEyyidToc+MIToPr6ztnrskLGkGXW8u/YTr4/0dasKX22bzzu/TyAl9ww2p82r19PS0aNHqV69esFWiYGBgVSoUIGUlBQAfv31V1q3bk30v1pas2fPZtasWcW+hs1m48SJE9StW7fgsVatWhEQEFDQVa4oCnq9Hr1eX7DO/YIFC+jfv/81v0dvUFQFu8vBwj2/8MbqsaRbM7UuSRMKCmP+/JQv9y6m7gvPUXPoEHT/mjpmjoyg7nPPyKIuPkpCvAzTmwIIqteW4IbXa13KFcU88D7ngoJ4a834Uu3mPpxxnOeWv8uCvUuxuey4/HDt9Q8++IAZM2YU/P306dNkZGRQtWpVAA4cOEC1atUYP348bdq0oV27dkydOvWqWscXusz/dzeo0NDQglZ3bGwsiYmJJCQkEBMTw9GjR6lUqRLBwcHX+hY9zu6ycyYvnddWfcjPB1eWeGaEP1l9dAPPrR5N8A3taT5+LAEx0aDX0+DVl72+uYnwHgnxMk5vthB965MYQy9/P0tL0fe9SX54NG+s/liTe42KqrD04GqGL3ubXSn7/O5eeUxMTKFW9pgxY1BVlQcffBA4P6jt999/JyEhgfHjx3Prrbfy6aef8v333xf7GhEREQQEBJCcnFzwWG5uLpmZmQUB361bN9LS0hg2bBgDBw5kzpw5DBw40EPv0jMutL7XHP2L55e/y8lzyVc+qBxJzT3Lo8tf54A+kxaTJlD/hecIqhovi7r4MAlxH6AzmIntP6JMruYWddcInLHVGbl6LDmOPE1rybBmMWb9NCb8NYMsWzZ2PwtzVVV5++23WbFiBcOHD6dDhw4AuN1uVFVl4sSJdO7cmddff50qVarw3XfFX1xHp9Nx0003sXPnTtauXUt6ejrvvfceRqOxoHUeERHBsmXLWLNmDX379sVkMrF8+XJatWrF0KFDsdm0vaVhc9o5lnmSN1aP5evtC7w2JsMffPjXZ6xI/JOw1i2kG93Hlb1UEEXoDAZMEVUI73yP1qUUEtn3GdTqDXl99Udk2bK1LqfA9tN7eWrpSFYc/gO7y+EX+5S7XC5GjBjB3Llzef7553niiScKngsKCqJ+/fqY/9slqtfrqVu3LsePH7+qa7zwwgvUrl2bxx57jE6dOlG5cmUiIiKIiooqeI3FYiEuLo7Zs2czYMAAxo4dy+uvv05iYiJr1qzxyHu9WjaXnXO2bKZunsmrK8dwPCtJkzp8SVhABbrW7IApMEjrUsQ1kj4UH6E3Wwhrdxv25ATyE7QfYRvR+1H09drw2soxpOeXvQFDDreTOTsXs/boRp5q/xBxFSphMfnuyNs33niDpUuX8v777xcZSFa1atWCLu8LdDpdQagXV2xsLEuWLOHo0aOEhYURGhrKV199RY8ePQq9Licnh6ysLAIDA7FarfTt25e//vqLEydOlOzNlZDT7UJRFZYcWMlPB37D6ePLppYWnU7HS52e8OmfB/H/pCXuQ/SmAGJuH44pKl7TOsK7P4CpWWfeXPMxqXlle3nYUzkpvLpyDDO2ziXTeg6rD45i//HHH/nhhx946623LjoSvF27duzbt4+srCzgfLd7QkICNWvWvKrrjBgxggkTJlC7dm2ioqLYuHEjdrud3r17F3rd3Llzuffee4scr9Pprup6JeVW3DhcDjac+IdnfnmTRXt/kQC/Cvc1vZ1qFatg1Esbzh/Iv6KP0ZkCqHzfWyRNH45iK/170BVvuBtLmxt5c814TmWnlPr1S2p94ib+PPEPHaq24t6m/agQEEKgD8zBdzqdTJgwgYYNG9KgQQN27NhR6PkWLVowaNAgFixYwDPPPMOQIUP4/fffOXXqFM8//3zB61JSUkhJSaFZs2boL7GYR2RkJF999RVVq1YlPDycMWPG0LlzZ9q2bVvwGofDwdGjRxk6dChut5ugoCAWL17M7t27i7TYPU1RFJyKi12p+/l2x/ek5J716vX80fVV23BT3S4EyB4EfkPWTvdBqsuJ/fRhkr99Ezy8ItrlhLbrS0iXAby79hMOZxwvtet6mg4drao05b5mtxMdFI6lDId5UlLSZcPx4MGDAOzYsYNRo0axf/9+IiIiGDhwII899ljB6yZPnsyUKVPYtm3bJaeE2e12xo4dyy+//ILT6aRXr168/vrrBfPTAVavXk1wcDDt27cHzrfKx48fT+vWrZk4cSIBXlgsRFEUHIqToxkn+Gb7ArnnXUK1I6rzdrfnJMD9jIS4j1IcNnJ2rSX91xlXfrEHVGjZi9AbBzN63VT2+9Ga001jG3Bfs37EhVbGbDChL4MzAMorh8sBOh3bT+9hyYGVJKQfu/JB4qLCA8P4uPcbVAgoe3P6xbWREPdhisNG2q9fkrvLu6OCg5t0oeItjzF2w+fsSt3v1WtppV5kLe5t1o86ETUw6Y2X7HIW3md12nArbpYn/M5vh9dxzp6jdUk+zWww8eGNrxEbEo1Rf+WNUIRvkRD3cYrTzuk5b2M/dcgr5w+q147wO55l4sav2JK8yyvXKEuqV4xnQJPbaBLb4PwIb0PZXRPcn7gVNy7FzansFBbvX8GWUzs9vnlOeaRDx4gbnqBpTH3MsoWvX5IQ9wNuay5JM57DnZPh0fMG1mpBRP8RfLZ5drnbOCI6KIJuNa+nZ50bCDCYCTCYpXXuBXaXHR06/jq5lZ8PrpIV1jzs3qb9uLleNyxyH9xvSYj7AcXtwp2dzqmvRqDYcj1yzoD4hkTdN5Kvti/k92N/eeScvkiHjgbRtbmxdhfaxDVDURWfGNVelimKgt3twOays+TASn4/9le52Bq0tHWs1pbH295PgLTA/ZqEuJ9QXU4c6adInvkaqvPalhs1V65N1KB3+W7XT6w4vNYzBfqBAIOZ6+Jb0L1WR+pF1sSluCXQi8nhdqKqCnlOK5tObufvpO0cOHtYNibxkmaxDXmp0+MS4OWAhLgfUZwO7KcPc3rOO1DCdaNN0VWJfugDftj/Kz8e+NXDFfqPIFMgbeKa0b1mR+pG1pBAvwir04ZRb+BUdgrrT/zDllO7OJ2TqnVZfq9uZE3e6PqsdKGXExLifkZx2rEe20nqorFXPYfcGB5LzJCPWXbkD+btXuKlCv1PsCmIVlWa0KpKUxpF1yXYHIRLcRFotJTaKmZlgaIo2Fx2jHoDe84c4s8T/7D99F5yNd4YpzypGlaF93u8JB8oyxEJcT+kOGzk7vuTtF+mFfsYfYVIYoeOZ03iZmbuWOjF6vxfRUsoDaPr0DS2Ic1iGxARWBGH20mAMQCDHw2Oc7qdONxOzAYzec58tpzaycaT29h3NgG3H+7rXtbFBEcxptcrBJuDytWHx/JOQtxPKQ4b57YsJ/P32Vd8rT4olNjHJ/JX8i4+3zKnFKorX4JMgdSPqk2TmPo0r9yIyiExON1OTAYTJoNvrHxsc9lRVAWzwUyW9RxHM09wIO0wxzOTOJ6VJK1tjYVbwhhz46uEBVSQWRTljIS4H1McNjLWzSd706W7xvXmIGKenMz2tAQm/f21DDQqBWaDiToRNagVUY24CpWJC61EdHAEYZbQ/86XdqHX6TWZ1uZwO3C53eh0Oox6I6l5aRxOP8ah9KMcyzzJiXPJstlIGRNsDmJMr1eJDKyI0Uc+FArPkRD3c4rTTtqKGeTu+r3ok8YAKg2bwt6sk3z81+fIt4K2dOgIs1QgNiSKmOAoYkKiqBpamcoVYokKCifIFIhbdaOqKop64eOWetF/N92FM+p0qKpa8OFMr9Nj1Bsw6A043S5yHLlkWbNJz88kNS+N9PxMMqxZJGWf5nTOGRRZcKVMCzRZeK/7i1SuEINJFiYqlyTEy4HzQf5F4eVZ9UYqPTmFBOtZxqybKqtj+QCD3kCg0YJRb8CoN2LUGzAZTIX+Xvj/z//Z4XaS58gnz5lPnsNKniOffJdVPrT5uGBzEO91f5GYkChZWbAckxAvJxSnnfRV35Cz7TdAT6UnJpHozuO9tRNxlXA6mhBCGxUCQni/x0tEBYVLC7yckxso5YTeFEBkz4fQ6Y0EturFaRyM+mOSBLgQPibMEsqoniOIsITJPXAhLfHyRnE5yHZaeWbZW9hc17aymxCidEUEVmRUzxGEBVSQABcAyFyEckZvNBNosnBHw5u0LkUIcRWigyL4oNcrVLSESoCLAtISL6dsLjvrjm/iy63zZFqZEGVcbEg0o3q8RLA52K8WDBLXTkK8HLO57Gw9tYspm76R0elClFF1ImrwepenCTRaZCEXUYSEeDlnd9lJzDrF6HVTZDtIIcqYtnHNeab9YAJkMxNxCRLiAofbSZYtm7fXjCctP0PrcoQQwK31e3JPk9tkO1FxWRLiAgC34sbqsjHqj8kcyUjUuhwhyi2dTseQVgPoXKOdbCcqrkhCXBRid9mZ9PfX/HNqp9alCFHumA0mXuz4GA2i60iAi2KREBdF2F0OFu5ZypKDK7UuRYhyIzSgAm92fZZKIdGYpQtdFJOEuLgom8vOxhNbmb71O9kbWggvqxNRg1c6DyPIZMGolzngovgkxMUl2V0OUnLPMGbdNNKtmVqXI4RfurF2Zwa1+I8MYBMlIiEuLsutuLG5HIz/azq7Uw9oXY4QfsNkMPHkdQ/QukpTuf8tSkxCXBSL3eXgpwO/8f3eZbLCmxDXKDo4kte7PE1kYLi0wMU1kRAXxWZz2Tmcfpxxf04nz5mvdTlC+KQWlRrz3PWPYDaYZQlVcc0kxMVVcbpd5Dny+WD9VI5lntC6HCF8hl6n554mt9GnXndpfQuPkRAXV01VVRxuJwv3LOXng6uke12IK4gNiealjo8RExIl97+FR0mIixKzuewknTvN+L9myHKtQlxCj1qdeKjlXRj1Juk+Fx4nIS6uiVtx41RcfLl1Hn8c/1vrcoQoMyoEhPBs+4epF1kLi0la38I7JMSFR9hcdvafTWDK39+Q48jTuhwhNNWychOeaT8Ys8GMySCLtwjvkRAXHuN0O3G4nUz6+2u2n96jdTlClLoAYwAPt7yb66u1kcFrolRIiAuPs7vs/HNqF19tm0+utMpFOdG6SlOeuG4QFkOArH0uSo2EuPAKp9uJU3Exc/tCfj+2UetyhPCaiMCKPN72ftl5TGhCQlx4lc1lJzk7lSmbviEp+7TW5QjhMTqdjpvrdmNA074Y9UaMeoPWJYlySEJceJ2iKDgVF78dXsf8PUtwuJ1alyTENakZXpWn2w0mKjhCWt9CUxLiotTYXXZsLjvTNn8rA9+ETwo0Wbiv6e10rdkBs8GETqfTuiRRzkmIi1Jnc9k5knGcL7fOly524RP0Oj29at/Avc36YdQZZOCaKDMkxIUmFEXBpbjYdGoHs3f+QKb1nNYlCXFRzSs1Ymib+6hgDpFFW0SZIyEuNOVyu3CrCisOr+WHfcuxOm1alyQEADXDqzGk1T1Uqxgn971FmSUhLsoEu8uBW3WzYPfP/HpkHW7FrXVJopyKCY7iwRZ30axSQ0wGI3qdrHcuyi4JcVGm2Jx2rC4bs3f+wJ8ntqCoitYliXIiJjiK/k1uoX18Kwx6g0wZEz5BQlyUSVanDbvLzoI9S1l7/G9cikvrkoSfqlIhlnua9qV15SboJbyFj5EQF2WazWnDpbj5Yf9yVh5ej93t0Lok4SeqhcVxb9O+NI1tgEFvwCDhLXyQhLjwCTaXHUVVWHpgFcsSfiffadW6JOGjakdU576m/agXVRuj3ih7fAufJiEufIrd5QBUfjuynuWHfictP0PrkoQP0Ov0tI1rzu0NexMfWgmT3oRewlv4AQlx4ZOcbhcqKofSjvLTgV/ZlXIAFflWFoWFBlSgV+0b6FOvG0a9kUCTReuShPAoCXHh01RVxfbf5VyXHlzNmmN/kufI17osobHaEdXp1+BGWlVpiqqqsre38FsS4sJv2F12dDod/yTt5OeDqziaeULrkkQpCjAG0D6+Jf0a9iYqKByzdJmLckBCXPgdt6LgVJycs2Xz2+H1rE/cRJYtW+uyhBfodXqaxjagV+0baFG5MW7FLV3molyREBd+ze5yoNPpOJZ5gt8Or+OfUzuxuexalyWuUc3wanSveT03VL8OdBBotMiOYqJckhAX5YbVacOgN7An9SBrjv7J9pS9OGVvc58RGxxFx+pt6Vm7EyHmYEx6o8ztFuWehLgol/KdVox6A/vPHubPE1vYnryHc/YcrcsS/6LT6agXWZPr4lrSoVorKphD0Ol0mA0mrUsTosyQEBflntVpw6g3cCYvnb9ObGFL8i6OZZ7UuqxyyWIMoHmlRlxftTUtKjdGRSXAYJYWtxCXICEuxL843S5cyvntUbcl72ZT0nYOnD1MjiNP69L8kl6np0bFeBrH1OO6+BbUCq+GU3HJPW4hiklCXIhLUFUVq9OGyWDinC2bPWcOsjNlPwfOHibdmql1eT7JoNNTK6I6jWPq0bpyU2pGVMOluDDqDZgNMpdbiKslIS5EMamqitV1vuvd5rKz/8xhdqTs5WDaUZJzUmXb1IsIC6hAjfB46kbUpGWVptSoGIdTcWHSmzAZjFqXJ4TPkxAX4hrYnHZUVEwGI2fzMjiSkUhC+jGOZyWRmJVUrjZqiQ2OokZ4VWqFV6NBdB2qhVXBbDDhcDsJMJgxSmgL4XES4kJ4mMPlwKm4CDCayXfaOJl1ikMZx0nJOcOZvDTO5KaRbs3yyZZ7oMlCpZBoYoKjqBQSTdWwKlQLi6NKaAyKqqIoChZTAHqdrJQmRGmQEBeiFCiKgsPtwK0qGPQGTHojuY480vIySc5JISk7hTN56WTbc8ix55LjyCPHnoujFOexmw0mwiyhVPzvf2GWCkQFRVAtLI7KFWKIDArHqDfgcJ2vyWw0YdRL61oILUmIC1EGuBU3DrcDRVXRoUOv12PSG1FRsTnt5DnzybXnk23Pwe524lScON0unG4ndrcDh9uJS/nvyHrFjV6nx2QwYTaYCDCYCTAGEGAwYTaaMevP/3+QyUKIOZhAkwWL0YIOcP73eND9d7CZSUaJC1GGSYgL4ScUVUFRVVRVRQfo9Xrp1hbCz0mICyGEED5KPqYLIYQQPkpCXAghhPBREuJCCCGEj5IQF0IIIXyUhLgQQgjhoyTEhRBCCB8lIS6EEEL4KAlxIYQQwkdJiAshLsput/PRRx9xww030LJlS5588knS09OLdezkyZMZNGiQlyss+zUI4W0S4kKIixo9ejS//vorI0eOZPTo0ezevZu33npL67KEEP8iWxAJIYpwuVx8//33vPvuu/Tu3RuA/Px8XnvtNbKzswkNDdW4QiEESIgLIS4iLy8Pp9NJdnZ2wWM9e/akcuXKGI3ya0OIskK604UQRYSFhdGqVSsmTpzIzJkzsdvthIWFcf311xMUFATAwoUL6dmzJy1atODuu+/mn3/+KXKeLVu20LdvX1q0aMHDDz9MRkYGAN27d+fjjz+md+/edOrUib///pubb76Z66+/nh07dgDn92CfMmUKnTt3pnXr1jz55JOcOXOm0PmLU8MF06ZNo23bthw4cKDgsaSkJJ544glatmxJt27d+Oyzz7iwJ1RSUhL169fnwIEDPP/887Rs2ZIePXqwdu3aa/nSCuFREuJCiIuaOHEijRs3ZvTo0fTo0YN58+YVPDdv3jzefPNNbrvtNj799FOqV6/O0KFDOXXqVMFrTp8+zXPPPcd9993HqFGj2LVrF59//nnB8z/99BMvv/wyqqry5JNP8vTTTxMZGcmPP/4InA/dmTNn8uyzzzJhwgRSUlJ49NFHr6qGCxYtWsT06dP59NNPadCgAQAOh4MhQ4aQm5vL5MmTefzxx5k6dSozZ84sdOzLL7+MxWJh0qRJxMfH88orr6Aoike+xkJcK+kXE0JcVExMDLNnz2bdunVMmjSJt956i927dzNq1CimTZvGnXfeybPPPgtA8+bNsdvtnDp1iri4OABOnjzJtGnT6NGjBwBbt27l0KFDBecfOHAg3bt356uvvqJmzZr06dOHP/74A5vNht1uZ/r06bzwwgv069cPAIvFwqBBg9i/fz8NGzYsVg0Aa9eu5a233mLs2LG0adOm4PFffvmFU6dOMWfOHCpWrAjAjh07WLx4MQ899FDB66pWrcro0aMBqFixInfddRdnz54lNjbWw19xIa6ehLgQ4rI6d+5Mp06dGDVqFLNnz6Zjx46kpqZy3XXXFbwmKCiISZMmFTouNja2IMABwsPDSUhIKPh7TEwMADqdrtCfAY4fP47dbmf06NEFAXrB8ePHiYmJKVYNJ06c4LnnniMsLIxDhw7Rp0+fgucOHjyI0+mkY8eOhY4JDAws9Pf77ruv0HsAcDqdF/1aCVHaJMSFEEWsWbOG8ePHM2/ePEJCQtDr9bz88svMnz+fpKQk4P8D94L9+/cTFBRE9erVAYiPj7/mOkaPHk29evUKPRYfH4/b7S5WDSkpKYwcOZLKlSvzwgsvMGDAACpVqlTw+ri4OCZOnFjoHP97Tk+8DyG8Re6JCyGKCAsLIyEhgf379xc8lpOTg8vlIj4+npiYmEKDyNxuN0OGDOHnn38ueMxgMJT4+tWrV8dsNmO322natClNmzalZs2azJo1i8TERKKioopVQ8uWLRk0aBA9e/akQYMGTJgwoeC5unXrkpaWRtWqVQuukZGRwdy5cwsGtwHo9fJrUpRd0hIXQhTRokULGjZsyGuvvcZzzz1HUFAQX3zxBVWqVKFr165kZmYyatQoYmJiaNOmDT///DP5+fncdtttHrm+xWLhkUceYeLEieh0OmrUqMF3333H5s2beeWVVwB4/PHHr1iDyWQq+PPzzz/Pgw8+yAMPPEDjxo257bbb+Pzzz3nqqad45JFHsNlsjB49mvbt2xdpjQtRVkmICyGKMBgMTJ8+nQ8++ID33nsPRVFo1aoV33zzDUFBQQwcOBCDwcCMGTP48ssvadCgAV9++WVBN7YnPPXUUwBMnTqV3NxcmjZtytdff01kZCTAVdfQrl07OnbsyJgxY/j2228xm818+eWXjBo1iuHDhxMUFMTNN9/Miy++6LH3IIS36dR/9xsJIYQQwmfIzR4hhBDCR0mICyGEED5KQlwIIYTwURLiQgghhI+SEBdCCCF8lIS4EEII4aMkxIUQQggfJSEuhBBC+Kj/A49jPn7NmnVkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "base_freq = data_etl_4_9_14['BaseName'].value_counts()\n",
    "plt.pie(base_freq.values, labels=base_freq.index,\n",
    "        radius=2,\n",
    "        autopct='%.1f%%',\n",
    "        wedgeprops=dict(width=0.6))\n",
    "plt.title('TLC基公司订单量占比比较', y=1.45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:26:22.553376Z",
     "start_time": "2021-03-08T03:26:22.551204Z"
    }
   },
   "source": [
    "### 出行区域分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T03:41:08.611507Z",
     "start_time": "2021-03-08T03:40:47.056988Z"
    }
   },
   "outputs": [],
   "source": [
    "# 输出csv文件, Tableau进行地图可视化\n",
    "data_etl_4_9_14.to_csv('data_etl_4_9_14.csv')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image](UserTripMapByMon.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 月度出行区域分布\n",
    "- 红色矩形标识区域: 从6月(至9月)没有无出行记录, 该区域为布里奇波特沿海低区一带(图示), 猜测可能是Uber业务在地域上进行策略调整, 需一步分析佐证\n",
    "- 圆圈标识区域: 在7~8月出行记录明显激增, 结合季节性和区域(新泽西沿海一带)判断, 推测旅游区淡旺季交替, 推动了业务增长\n",
    "- 整体区域: 见分布密集不断向外, 说明4~9月, Uber的业务一直在区域性范围扩张"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T06:47:44.043526Z",
     "start_time": "2021-03-08T06:47:44.041237Z"
    }
   },
   "source": [
    "## 用户出行特征分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T06:50:41.520635Z",
     "start_time": "2021-03-08T06:50:41.518684Z"
    }
   },
   "source": [
    "### 出行订单月份分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T06:51:28.674276Z",
     "start_time": "2021-03-08T06:51:28.397977Z"
    }
   },
   "outputs": [],
   "source": [
    "dic_month = {\n",
    "    1:'一月',\n",
    "    2:'二月',\n",
    "    3:'三月',\n",
    "    4:'四月',\n",
    "    5:'五月',\n",
    "    6:'六月',\n",
    "    7:'七月',\n",
    "    8:'八月',\n",
    "    9:'九月',\n",
    "    10:'十月',\n",
    "    11:'十一月',\n",
    "    12:'十二月'\n",
    "}\n",
    "data_etl_4_9_14['月份'] = data_etl_4_9_14['Date/Time'].dt.month.map(dic_month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T06:52:21.883220Z",
     "start_time": "2021-03-08T06:52:21.319280Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_month_cnt = data_etl_4_9_14.groupby('月份', as_index=False)['Date/Time'].count()\n",
    "data_month_cnt.columns = ['月份','count']\n",
    "data_month_cnt = data_month_cnt.sort_values('count', ascending=False)\n",
    "data_month_cnt.reset_index(inplace=True)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(15,6))\n",
    "\n",
    "ax = sns.barplot(x=\"月份\", y=\"count\", data=data_month_cnt, palette='rocket')\n",
    "\n",
    "\n",
    "ax.set_title('出行订单月份分布')\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "月度出行需要考虑淡旺季交替, 节假日等季节性对业务的影响"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 出行订单星期分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T06:58:27.076636Z",
     "start_time": "2021-03-08T06:58:26.864047Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_weekday_cnt = data_etl_4_9_14.groupby('WeekDay', as_index=False)['Date/Time'].count()\n",
    "data_weekday_cnt.columns = ['WeekDay','count']\n",
    "#data_weekday_cnt = data_weekday_cnt.sort_values('count', ascending=False)\n",
    "#data_weekday_cnt.reset_index(inplace=True)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(15,6))\n",
    "\n",
    "ax = sns.barplot(x=\"WeekDay\", y=\"count\", data=data_weekday_cnt, color='b')\n",
    "\n",
    "\n",
    "ax.set_title('一周出行分布')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T07:44:18.919465Z",
     "start_time": "2021-03-08T07:44:17.522469Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 按日期, weekday进行分组\n",
    "data_weekday_avg = data_etl_4_9_14.groupby(\n",
    "    ['Date', 'WeekDay'], as_index=False)['Date/Time'].count()\n",
    "data_weekday_avg.columns = ['Date', 'WeekDay', 'count']\n",
    "\n",
    "# 计算每天的平均出行记录\n",
    "data_weekday_avg = data_weekday_avg.groupby('WeekDay').agg('mean')\n",
    "\n",
    "# 绘制\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "plt.plot(data_weekday_avg,\n",
    "         c='C1',\n",
    "         marker='D',\n",
    "         linewidth=2)\n",
    "plt.title('一周平均出行分布')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T07:35:34.090627Z",
     "start_time": "2021-03-08T07:35:34.083552Z"
    }
   },
   "source": [
    "出行高峰出现在周四和周五, 周一和周日出行次数较少, 可能由于在周末, 很多地方是休息的"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T07:51:30.537034Z",
     "start_time": "2021-03-08T07:51:30.534892Z"
    }
   },
   "source": [
    "### 出行订单小时分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T07:44:38.012789Z",
     "start_time": "2021-03-08T07:44:37.681068Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_hour_cnt = data_etl_4_9_14.groupby('Hour', as_index=False)['Date/Time'].count()\n",
    "data_hour_cnt.columns = ['Hour','count']\n",
    "#data_hour_cnt = data_hour_cnt.sort_values('count', ascending=False)\n",
    "#data_hour_cnt.reset_index(inplace=True)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(15,6))\n",
    "\n",
    "ax = sns.barplot(x=\"Hour\", y=\"count\", data=data_hour_cnt, color='b')\n",
    "\n",
    "\n",
    "ax.set_title('一天出行分布')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T07:45:36.293735Z",
     "start_time": "2021-03-08T07:45:35.835869Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 按日期, weekday进行分组\n",
    "data_hour_avg = data_etl_4_9_14.groupby(['Date', 'Hour'], as_index=False)['Date/Time'].count()\n",
    "data_hour_avg.columns = ['Date', 'Hour', 'count']\n",
    "\n",
    "# 计算每天的平均出行记录\n",
    "data_hour_avg = data_hour_avg.groupby('Hour').agg('mean')\n",
    "\n",
    "# 绘制\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "plt.plot(data_hour_avg,\n",
    "         c='C1',\n",
    "         marker='D',\n",
    "         linewidth=2)\n",
    "plt.title('一天平均出行分布')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T07:49:52.432326Z",
     "start_time": "2021-03-08T07:49:52.425448Z"
    }
   },
   "source": [
    "图中两个山峰, 分别是早上7点和下午5点, 主要通勤时间. 而早上10点之后, 出行数量上升, 猜测是大多数地方可能10点以后才营业"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T08:00:36.572371Z",
     "start_time": "2021-03-08T08:00:34.505056Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "\n",
    "sns.countplot(x='月份',\n",
    "              data=data_etl_4_9_14, \n",
    "              palette='crest',\n",
    "              saturation=1,\n",
    "              hue='WeekDay')\n",
    "              #hue_order=['Mon','Tue','Wed','Thu','Fri','Sat','Sun'])\n",
    "\n",
    "\n",
    "sns.despine(bottom=True, left=True)\n",
    "plt.xlabel(None)\n",
    "plt.ylabel(None)\n",
    "plt.title('月度及星期出行分布')\n",
    "plt.legend(bbox_to_anchor= (1.03, 1) );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "出行数量随时间而增加, 9月份整体需求增加"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 用户出行区域分布"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image](TripsCntByDay.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-08T08:12:34.569211Z",
     "start_time": "2021-03-08T08:12:34.566966Z"
    }
   },
   "source": [
    "#### 选择9月13日的记录为参考\n",
    "![image](UserTripMap.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "7点、17点出行区域分布比较集中，可以根据区域经纬度提前调度车辆"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结\n",
    "- 运营情况：2014年，Uber业务一直处于数月增长状态，出行覆盖区域不断扩张。应该同时对不同的基公司采取不同的运营策略，Danach-NY和Unter考虑是否存在内部运营问题\n",
    "- 季节性业务：根据时间、区域维度，针对淡旺季交替、节假日出行进行精细化运营，优化出行车辆分布\n",
    "- 用户出行特征：集中在通勤时间（7点、17点），以及周四和周五，提前指导车辆调度至集中区域，提高车辆利用率；其他时间可以优化业务策略，如发放优惠券、动态价格策略等，让车辆提高活跃度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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